Setting the standard for high-quality studies using open health datasets.

Authors: Cunha A; Public Library of Science, Cambridge, United Kingdom., de Bruijn S; Public Library of Science, Cambridge, United Kingdom., Farrell A; Public Library of Science, San Francisco, United States of America., Lumbard H; Public Library of Science, Cambridge, United Kingdom., Tosun A; Public Library of Science, Berlin, Germany., Routledge D; Public Library of Science, Cambridge, United Kingdom.

Source: PLoS medicine [PLoS Med] 2025 Dec 04; Vol. 22 (12), pp. e1004854. Date of Electronic Publication: 2025 Dec 04 (Print Publication: 2025).

Publication Type: Editorial

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101231360 Publication Model: eCollection Cited Medium: Internet ISSN: 1549-1676 (Electronic) Linking ISSN: 15491277 NLM ISO Abbreviation: PLoS Med Subsets: MEDLINE

MeSH Terms: Datasets as Topic*/standards , Research Design*/standards , Databases, Factual*/standards, Humans

Developing a minimum dataset for a national patient registry on Long COVID in Canada: a Delphi consensus-based study.

Authors: Mazurik K; University of Saskatchewan, Saskatoon, Saskatchewan, Canada kathrina.mazurik@usask.ca., Amah A; Research, Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada., Dumitrescu DI; University of Saskatchewan, Saskatoon, Saskatchewan, Canada.; Research Department, Saskatchewan Health Authority, Regina, Saskatchewan, Canada., Ejalonibu H; University of Saskatchewan, Saskatoon, Saskatchewan, Canada.; Saskatchewan Health Quality Council, Saskatoon, Saskatchewan, Canada., Chavda B; Community Health & Epidemiology, University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada., Kemp D; University of Saskatchewan, Saskatoon, Saskatchewan, Canada.; Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada., Frederick DE; Patient partner, Saskatoon, Saskatchewan, Canada., Mclean C; Patient partner, Saskatoon, Saskatchewan, Canada., Décary S; University of Sherbrooke, Sherbrooke, Quebec, Canada., Gruneir A; Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada.; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada., Halas G; Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada., Hoens A; Department of Physical Therapy, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada., Kho M; School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada., Groot G; Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

Corporate Authors: Long COVID Web

Source: BMJ open [BMJ Open] 2025 Dec 03; Vol. 15 (12), pp. e111474. Date of Electronic Publication: 2025 Dec 03.

Publication Type: Journal Article

Journal Info: Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE

MeSH Terms: Registries* , COVID-19*/epidemiology , COVID-19*/complications , Datasets as Topic*, Humans ; Canada/epidemiology ; Delphi Technique ; Consensus ; Quality of Life ; SARS-CoV-2 ; Surveys and Questionnaires ; Post-Acute COVID-19 Syndrome

Evaluating re-identification risks scores in publicly available clinical trial datasets: Insights and implications.

Authors: Rodriguez A; Edinburgh Clinical Trials Unit (ECTU), Usher Institute, The University of Edinburgh, Edinburgh, UK., Williams LJ; Edinburgh Clinical Trials Unit (ECTU), Usher Institute, The University of Edinburgh, Edinburgh, UK., Lewis SC; Edinburgh Clinical Trials Unit (ECTU), Usher Institute, The University of Edinburgh, Edinburgh, UK., Sinclair P; Edinburgh Clinical Trials Unit (ECTU), Usher Institute, The University of Edinburgh, Edinburgh, UK., Eldridge S; Pragmatic Clinical Trials Unit, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK., Jackson T; Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, UK., Weir CJ; Edinburgh Clinical Trials Unit (ECTU), Usher Institute, The University of Edinburgh, Edinburgh, UK.

Source: Clinical trials (London, England) [Clin Trials] 2025 Dec; Vol. 22 (6), pp. 649-666. Date of Electronic Publication: 2025 Aug 22.

Publication Type: Journal Article

Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 101197451 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1740-7753 (Electronic) Linking ISSN: 17407745 NLM ISO Abbreviation: Clin Trials Subsets: MEDLINE

MeSH Terms: Randomized Controlled Trials as Topic* , Confidentiality* , Data Anonymization* , Datasets as Topic*, Humans ; Risk Assessment ; Female

Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.

Authors: Pilgram L; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, K1H 8M5, Canada.; Children's Hospital of Eastern Ontario Research Institute, Children's Hospital of Eastern Ontario, Ottawa, Ontario, K1H 8L1, Canada.; Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, 10117, Germany., El Kababji S; Children's Hospital of Eastern Ontario Research Institute, Children's Hospital of Eastern Ontario, Ottawa, Ontario, K1H 8L1, Canada., Liu D; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, K1H 8M5, Canada.; Children's Hospital of Eastern Ontario Research Institute, Children's Hospital of Eastern Ontario, Ottawa, Ontario, K1H 8L1, Canada., El Emam K; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, K1H 8M5, Canada.; Children's Hospital of Eastern Ontario Research Institute, Children's Hospital of Eastern Ontario, Ottawa, Ontario, K1H 8L1, Canada.

Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Dec 01; Vol. 32 (12), pp. 1843-1854.

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE

MeSH Terms: Machine Learning* , Artificial Intelligence* , Datasets as Topic*, Humans ; Cross-Sectional Studies ; Confidentiality

Methods for integrating public datasets: insights from youth disaster mental health research.

Authors: Riobueno-Naylor A; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Gomez I; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Quan S; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Hutt Vater C; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Montes M; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Hoskova B; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA., Lai BS; Department of Counseling, Developmental, and Educational Psychology, Lynch School of Education, Boston College, Chestnut Hill, MA, USA.

Source: European journal of psychotraumatology [Eur J Psychotraumatol] 2025 Dec; Vol. 16 (1), pp. 2481699. Date of Electronic Publication: 2025 Apr 03.

Publication Type: Journal Article

Journal Info: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101559025 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2000-8066 (Electronic) Linking ISSN: 20008066 NLM ISO Abbreviation: Eur J Psychotraumatol Subsets: MEDLINE

MeSH Terms: Disasters* , Mental Health*/statistics & numerical data , Depression*/epidemiology , Datasets as Topic*, Humans ; Adolescent ; United States/epidemiology ; Male ; Female ; Databases, Factual

Fair human-centric image dataset for ethical AI benchmarking.

Authors: Xiang A; Sony AI, New York, NY, USA. alice.xiang@sony.com., Andrews JTA; Sony AI, Zurich, Switzerland., Bourke RL; Sony AI, Tokyo, Japan., Thong W; Sony AI, Zurich, Switzerland., LaChance JM; Sony AI, New York, NY, USA., Georgievski T; Sony AI, New York, NY, USA., Modas A; Sony AI, Zurich, Switzerland., Rahmattalabbi A; Sony AI, New York, NY, USA., Ba Y; Sony AI, New York, NY, USA., Nagpal S; Sony AI, Bengaluru, India., Papakyriakopoulos O; Sony AI, Zurich, Switzerland., Zhao D; Sony AI, New York, NY, USA., Xue J; Sony AI, New York, NY, USA., Matthews V; Sony AI, New York, NY, USA., Gong L; Sony AI, Zurich, Switzerland., Hoag AT; Sony AI, New York, NY, USA., Cimpoi M; Sony AI, Zurich, Switzerland., Sankaranarayanan S; Sony AI, New York, NY, USA., Hutiri W; Sony AI, Zurich, Switzerland., Scheuerman MK; Sony AI, New York, NY, USA., Abedi AS; Sony AI, New York, NY, USA., Stone P; Sony AI, New York, NY, USA., Wurman PR; Sony AI, New York, NY, USA., Kitano H; Sony AI, Tokyo, Japan., Spranger M; Sony AI, Tokyo, Japan.

Source: Nature [Nature] 2025 Dec; Vol. 648 (8092), pp. 97-108. Date of Electronic Publication: 2025 Nov 05.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE

MeSH Terms: Benchmarking*/ethics , Artificial Intelligence*/ethics , Artificial Intelligence*/standards , Datasets as Topic*/ethics, Humans ; Privacy ; Face/anatomy & histology ; Female

Home Health Focus: A New Publicly Available Dataset to Study Community-Dwelling Populations Receiving Home Health Services.

Authors: Loomer L; Department of Economics and Health Care Management, Labovitz School of Business and Economics, University of Minnesota Duluth, Duluth, Minnesota lacey_loomer@alumni.brown.edu., Patel S; Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, Rhode Island., Belanger E; Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, Rhode Island.; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island., Gozalo P; Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, Rhode Island.; Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.; Providence Veterans Affairs Medical Center, Providence, Rhode Island.

Source: Annals of family medicine [Ann Fam Med] 2025 Nov 24; Vol. 23 (6), pp. 539-541. Date of Electronic Publication: 2025 Nov 24.

Publication Type: Journal Article

Journal Info: Publisher: Annals of Family Medicine, Inc Country of Publication: United States NLM ID: 101167762 Publication Model: Electronic Cited Medium: Internet ISSN: 1544-1717 (Electronic) Linking ISSN: 15441709 NLM ISO Abbreviation: Ann Fam Med Subsets: MEDLINE

MeSH Terms: Medicare*/statistics & numerical data , Home Care Services*/statistics & numerical data , Independent Living*/statistics & numerical data , Datasets as Topic*, Humans ; United States ; Aged ; Male ; Female ; Aged, 80 and over

Identifying Biomedical Entities for Datasets in Scientific Articles: 4-Step Cache-Augmented Generation Approach Using GPT-4o and PubTator 3.0.

Authors: Giuliani C; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Benadi G; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Engel F; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Werner J; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Watter M; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Schwarzer G; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739., Groß O; Institute of Neuropathology, Medical Faculty and Medical Center, University of Freiburg, Freiburg, Germany.; Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany., Zeiser R; Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany.; Department of Medicine I, Medical Faculty and Medical Center, University of Freiburg, Freiburg, Germany., Binder H; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739.; Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany., Kaier K; Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, Freiburg, 79104, Germany, 49 076127083739.; Center for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany.

Source: JMIR formative research [JMIR Form Res] 2025 Nov 20; Vol. 9, pp. e73822. Date of Electronic Publication: 2025 Nov 20.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE

MeSH Terms: Metadata* , Biomedical Research* , Datasets as Topic* , Data Mining*/methods , Information Storage and Retrieval*/methods, Humans

Standardised Minimum Dataset (MDS) Evaluation for Paediatric Eating Disorder Services.

Authors: Kushner Y; The Royal Children's Hospital Melbourne.; Murdoch Children's Research Institute.; The University of Melbourne., Yeo M; The Royal Children's Hospital Melbourne.; Murdoch Children's Research Institute., Truong D; The Royal Children's Hospital Melbourne., Eccles A; The Royal Children's Hospital Melbourne., Seitzinger J; The Royal Children's Hospital Melbourne., Rayner C; The Royal Children's Hospital Melbourne.; Murdoch Children's Research Institute.

Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Nov 12; Vol. 333, pp. 76-81.

Publication Type: Journal Article

Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

MeSH Terms: Feeding and Eating Disorders*/therapy , Feeding and Eating Disorders*/diagnosis , Feeding and Eating Disorders*/epidemiology , Electronic Health Records*/standards , Datasets as Topic*/standards, Humans ; Child ; Adolescent ; Female

A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications.

Authors: Pedro A; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile. aapedro@uc.cl.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile. aapedro@uc.cl., Romero P; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile., Vidaurre S; Facultad de Ingeniería, Universidad Autónoma de Chile, Santiago, Chile., Cabanas AM; Departamento de Física, Universidad de Tarapacá, Arica, Chile., Galaz A; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile., Hidalgo L; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Carrasco K; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Tamez-Peña JG; School of Medicine and Health Sciences, Tecnológico de Monterrey, Monterrey, Nuevo León, México., Díaz-Domínguez R; School of Medicine and Health Sciences, Tecnológico de Monterrey, Zapopan, Jalisco, México., Navarrete-Dechent C; Melanoma and Skin Cancer Unit, Department of Dermatology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile., Mery D; Department of Computer Science, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile.

Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Nov 05; Vol. 25 (1), pp. 251. Date of Electronic Publication: 2025 Nov 05.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

MeSH Terms: Artificial Intelligence* , Dermatology*/methods , Data Collection*/methods , Databases, Factual* , Skin Neoplasms*/diagnosis , Skin Neoplasms*/classification , Datasets as Topic*, Humans ; Retrospective Studies ; Metadata ; Mexico

A User-friendly and Powerful R Analysis of Large-scale Datasets.

Authors: Allison J; Department of Biological Sciences, University of Maryland Baltimore County., Zhang C; Department of Biological Sciences, University of Maryland Baltimore County., Egoshi R; Department of Biological Sciences, University of Maryland Baltimore County., Lu H; Department of Biological Sciences, University of Maryland Baltimore County; hualu@umbc.edu.

Source: Journal of visualized experiments : JoVE [J Vis Exp] 2025 Nov 04 (225). Date of Electronic Publication: 2025 Nov 04.

Publication Type: Journal Article; Video-Audio Media

Journal Info: Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE

MeSH Terms: Software* , Datasets as Topic*, Reactive Oxygen Species/metabolism ; Reactive Oxygen Species/analysis ; Animals ; Circadian Clocks/physiology

Are Aggregated Electronic Health Record Datasets Good for Research?

Authors: Goldstein ND; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA. ng338@drexel.edu.; Department of Microbiology and Immunology, College of Medicine, Drexel University, Philadelphia, PA, USA. ng338@drexel.edu., Olivieri-Mui B; Department of Public Health and Health Sciences, Bouve College of Health Sciences, Northeastern University, Boston, MA, USA.; The Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA., Burstyn I; Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.

Source: Journal of general internal medicine [J Gen Intern Med] 2025 Nov; Vol. 40 (15), pp. 3743-3749. Date of Electronic Publication: 2025 Aug 12.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE

MeSH Terms: Electronic Health Records*/standards , Biomedical Research*/methods , Datasets as Topic*/standards, Humans ; United States

CAMERA: A Consensus Study to Ascertain Minimum Datasets for Ear Remote Assessments.

Authors: Lee J; South Warwickshire University Hospitals NHS Foundation Trust, Warwick, United Kingdom., Cowling J; Department of Ear, Nose and Throat Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom., Smith ME; Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.; Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom., Mehta N; UCL Ear Institute, University College London, London, United Kingdom., Spinos D; South Warwickshire University Hospitals NHS Foundation Trust, Warwick, United Kingdom., Coulson C; Department of Ear, Nose and Throat Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom., Muzaffar J; Department of Ear, Nose and Throat Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.

Corporate Authors: CAMERA Steering Committee, CAMERA Working Group

Source: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery [Clin Otolaryngol] 2025 Nov; Vol. 50 (6), pp. 1002-1010. Date of Electronic Publication: 2025 Jul 06.

Publication Type: Journal Article

Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 101247023 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1749-4486 (Electronic) Linking ISSN: 17494478 NLM ISO Abbreviation: Clin Otolaryngol Subsets: MEDLINE

MeSH Terms: Consensus* , Ear Diseases*/diagnosis , Remote Consultation* , Datasets as Topic*, Humans ; Delphi Technique ; COVID-19/epidemiology ; United Kingdom ; Telemedicine ; SARS-CoV-2 ; Otolaryngology

Gradient amplification for gradient matching based dataset distillation.

Authors: Zhang J; Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China. Electronic address: y21220033@mail.ecust.edu.cn., Chen Z; Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China. Electronic address: czh@ecust.edu.cn., Dai L; Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China. Electronic address: dailei@ecust.edu.cn., Li P; Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China; School of Design, The Hong Kong Polytechnic University, Hong Kong, China. Electronic address: p.li@polyu.edu.hk., Sheng B; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: shengbin@sjtu.edu.cn.

Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 Nov; Vol. 191, pp. 107819. Date of Electronic Publication: 2025 Jul 05.

Publication Type: Journal Article

Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE

MeSH Terms: Neural Networks, Computer* , Distillation*/methods , Datasets as Topic*, Algorithms ; Humans

From variability to consistency: building a Kellgren-Lawrence gonarthrosis dataset.

Authors: Beyaz S; Adana Turgut Noyan Research and Training Centre, Orthopedics and Traumatology Department, Baskent University, Adana, Turkey. sbeyaz@baskent.edu.tr., Yayli SB; Artificial Intelligence & Digital Analytic Solutions, Turkcell Technology, İstanbul, Turkey., Kılıç K; Artificial Intelligence & Digital Analytic Solutions, Turkcell Technology, İstanbul, Turkey.

Source: Journal of orthopaedic surgery and research [J Orthop Surg Res] 2025 Oct 24; Vol. 20 (1), pp. 922. Date of Electronic Publication: 2025 Oct 24.

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101265112 Publication Model: Electronic Cited Medium: Internet ISSN: 1749-799X (Electronic) Linking ISSN: 1749799X NLM ISO Abbreviation: J Orthop Surg Res Subsets: MEDLINE

MeSH Terms: Osteoarthritis, Knee*/diagnostic imaging , Knee Joint*/diagnostic imaging , Datasets as Topic*/standards, Humans ; Male ; Female ; Middle Aged ; Retrospective Studies ; Observer Variation ; Radiography ; Aged ; Orthopedic Surgeons/statistics & numerical data ; Adult ; Radiologists/statistics & numerical data ; Radiologists/standards

Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts.

Authors: Naim PM; Department of Cognitive and Brain Sciences, Hebrew University of Jerusalem, Mount Scopus, Jerusalem, 9190500, Israel, 972 025882888., Sadeh-Sharvit S; Eleos Health, Waltham, MA, United States.; Palo Alto University, Palo Alto, CA, United States., Jefroykin S; Eleos Health, Waltham, MA, United States., Silber E; Eleos Health, Waltham, MA, United States.; Palo Alto University, Palo Alto, CA, United States., Morrison DP; Morrison Consulting, Bloomington, IN, United States., Goldstein A; Department of Cognitive and Brain Sciences, Hebrew University of Jerusalem, Mount Scopus, Jerusalem, 9190500, Israel, 972 025882888.; Business School, Hebrew University of Jerusalem, Jerusalem, Israel.; Department of Psychology, Azrieli Israel Center for Addiction and Mental Health (Azrieli ICAMH), Hebrew University of Jerusalem, Jerusalem, Israel.

Source: JMIR formative research [JMIR Form Res] 2025 Oct 24; Vol. 9, pp. e78082. Date of Electronic Publication: 2025 Oct 24.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE

MeSH Terms: Communication* , Datasets as Topic*, Humans ; United States

Evaluating Diversity in Open Photoplethysmography Datasets: Protocol for a Systematic Review.

Authors: Penmetcha V; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; Department of Kinesiology, Wiess School of Natural Sciences, Rice University, 6360 Main St, Houston, TX, 77005, United States, 1 9133049350., Rambabu L; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.; Department of Anaesthesia, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.; Accelerate Programme for Scientific Discovery, Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom., Smith BG; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; Cambridge Public Health Interdisciplinary Research Centre, University of Cambridge, Cambridge, United Kingdom.; NIHR Global Health Research Group on Acquired Brain and Spine Injury (ABSI), University of Cambridge, Cambridge, United Kingdom., Mantle O; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; NIHR Global Health Research Group on Acquired Brain and Spine Injury (ABSI), University of Cambridge, Cambridge, United Kingdom.; GKT School of Medical Education, King's College London, London, United Kingdom., Edmiston T; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom., Hobbs L; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; NIHR Global Health Research Group on Acquired Brain and Spine Injury (ABSI), University of Cambridge, Cambridge, United Kingdom.; Department of Anaesthesia, East and North Hertfordshire Teaching NHS Trust, Stevenage, United Kingdom., Nagraj S; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; Cambridge Public Health Interdisciplinary Research Centre, University of Cambridge, Cambridge, United Kingdom.; NIHR Global Health Research Group on Acquired Brain and Spine Injury (ABSI), University of Cambridge, Cambridge, United Kingdom.; East London NHS Foundation Trust, London, United Kingdom.; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom., Charlton PH; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom., Bashford T; International Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.; Department of Anaesthesia, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.; Cambridge Public Health Interdisciplinary Research Centre, University of Cambridge, Cambridge, United Kingdom.; NIHR Global Health Research Group on Acquired Brain and Spine Injury (ABSI), University of Cambridge, Cambridge, United Kingdom.

Source: JMIR research protocols [JMIR Res Protoc] 2025 Oct 01; Vol. 14, pp. e73040. Date of Electronic Publication: 2025 Oct 01.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101599504 Publication Model: Electronic Cited Medium: Internet ISSN: 1929-0748 (Electronic) Linking ISSN: 19290748 NLM ISO Abbreviation: JMIR Res Protoc Subsets: MEDLINE

MeSH Terms: Photoplethysmography*/methods , Datasets as Topic*, Humans ; Systematic Reviews as Topic ; Research Design

The HydroBio Dataset: a new data resource for evaluating existing and potential hydropower capacity and freshwater biodiversity in the conterminous United States.

Authors: Bozeman BB; Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, USA, 37830. Electronic address: bozemanbb@ornl.gov., Matson PG; Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, USA, 37830. Electronic address: matsonpg@ornl.gov., DeRolph CR; Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, USA, 37830. Electronic address: derolphcr@ornl.gov., DeNeale ST; Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, USA, 37830. Electronic address: denealest@ornl.gov.

Source: Journal of environmental management [J Environ Manage] 2025 Oct; Vol. 393, pp. 127042. Date of Electronic Publication: 2025 Aug 20.

Publication Type: Journal Article

Journal Info: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

MeSH Terms: Biodiversity* , Fresh Water* , Power Plants* , Datasets as Topic*, Conservation of Natural Resources ; Ecosystem ; Rivers ; United States

EULAR recommendations for a core dataset to support clinical care and translational and observational research in systemic lupus erythematosus.

Authors: Mucke J; Ruhr-Universität Bochum, Germany; Rheumazentrum Ruhrgebiet, Herne, Germany; Department of Rheumatology, Heinrich-Heine University, Duesseldorf, Germany. Electronic address: johanna.mucke@med.uni-duesseldorf.de., Bertsias G; Department of Rheumatology, Clinical Immunology and Allergy, University of Crete, Medical School, Heraklion, Greece., Aringer M; Division of Rheumatology, Department of Medicine III, University Medical Center and Faculty of Medicine at the TU Dresden, Dresden, Germany; Interdisciplinary University Center for Autoimmune and Rheumatic Entities (UCARE), University Medical Center and Faculty of Medicine at the TU Dresden, Dresden, Germany., Arnaud L; Department of Rheumatology & National Reference Center for Autoimmune Diseases (CRMR RESO), Hôpital de Hautepierre, Strasbourg, France., Boström C; Department of Neurobiology, Karolinska Institute, Care Sciences and Society, Stockholm, Sweden., Cervera R; Department of Autoimmune Diseases, University of Barcelona, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; IRIDIS (Investigation in Rheumatology and Immune-Mediated Diseases)-VIGO Group, Galicia Sur Health Research Institute, Vigo, Spain., Chehab G; Department of Rheumatology, Heinrich-Heine University, Duesseldorf, Germany; Department of Rheumatology and Clinical Immunology, Evangelisches Krankenhaus Kliniken Essen-Mitte, Essen, Germany., Czirják L; Department of Rheumatology and Immunology, University of Pecs, Medical School, Pecs, Hungary., Dreyer LW; Department of Rheumatology, Center of Rheumatic Research Aalborg (CERRA), Aalborg University Hospital, Aalborg University, Aalborg, Denmark., Inês L; Rheumatology Department, Centro Hospitalar Universitário de Coimbra, Coimbra, Portugal., Jacobsen S; Copenhagen Research Center for Autoimmune Connective Tissue Diseases (COPEACT), Center for Rheumatology and Spine Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark., Nielsen CK; Lupus Europe, Rue d'Egmont 11, 1000 Bruxelles, Belgium., Marasco E; Division of Rheumatology, Bambino Gesù Children's Hospital, Rome, Italy., Mosca M; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy., Myllys K; Lupus Europe, Rue d'Egmont 11, 1000 Bruxelles, Belgium., Pamfil C; Department of Rheumatology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania., Pego-Reigosa JM; Rheumatology Department, University Hospital of Vigo, Vigo, Spain., Richter JG; Department of Rheumatology, Heinrich-Heine University, Duesseldorf, Germany; Hiller Research Center for Rheumatology, Heinrich-Heine University, Duesseldorf, Germany., Sciascia S; Department of Clinical and Biological Sciences, University Center of Excellence on Nephrology, Rheumatology and Rare Diseases, ASL Città Di Torino and University of Turin, Turin, Italy., Tamirou F; Department of Rheumatology, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium., Tsang-A-Sjoe M; Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam, the Netherlands., Vital EM; Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK., Van Vollenhoven R; Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam, the Netherlands., Wincup C; Department of Clinical and Academic Rheumatology, King's College Hospital, London, UK., Schneider M; Department of Rheumatology, Heinrich-Heine University, Duesseldorf, Germany; Hiller Research Center for Rheumatology, Heinrich-Heine University, Duesseldorf, Germany.

Corporate Authors: Taskforce for development of EULAR recommendations for a core dataset to support clinical care and translational and observational research in systemic lupus erythematosus

Source: Annals of the rheumatic diseases [Ann Rheum Dis] 2025 Oct; Vol. 84 (10), pp. 1621-1631. Date of Electronic Publication: 2025 Aug 21.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0372355 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-2060 (Electronic) Linking ISSN: 00034967 NLM ISO Abbreviation: Ann Rheum Dis Subsets: MEDLINE

MeSH Terms: Lupus Erythematosus, Systemic*/therapy , Translational Research, Biomedical*/standards , Rheumatology*/standards , Datasets as Topic*/standards, Humans ; Observational Studies as Topic ; Delphi Technique ; Europe

Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge.

Authors: Domagalski MJ; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States., Lu Y; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States., Pilozzi A; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States., Williamson A; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States., Chilappagari P; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States., Luker E; Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States., Shelley CD; Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States., Dabic A; Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States., Keller MA; Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States., Rodriguez RM; National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, United States., Lawlor S; National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, United States., Thangudu RR; Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States.

Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Oct 01; Vol. 32 (10), pp. 1609-1616.

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE

MeSH Terms: Artificial Intelligence* , Diabetes Mellitus, Type 1* , Biomedical Research* , Machine Learning* , Datasets as Topic*, Humans ; National Institute of Diabetes and Digestive and Kidney Diseases (U.S.) ; United States ; Algorithms