Extraction of Pain Severity and Functional Interference From Clinical Narratives Using Domain-Informed Large Language Models: Protocol for a Development and Validation Study.

Authors: Zhang X; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States., Wilson CR; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175., Eyre H; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175., Reed Ii DE; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175.; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States., Hee Wai TY; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175., Kloehn A; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175., Rosser EW; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175., Luo G; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States., Zeliadt SB; Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA, 98108, United States, 1 2062774175.; Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.

Source: JMIR research protocols [JMIR Res Protoc] 2026 Oct 07; Vol. 15, pp. e96346. Date of Electronic Publication: 2026 Oct 07.

Publication Type: Journal Article; Validation Study

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: Pain Measurement*/methods , Chronic Pain*/diagnosis , Natural Language Processing*, Veterans/statistics & numerical data ; United States Department of Veterans Affairs/organization & administration ; Humans ; Large Language Models ; Retrospective Studies ; Patient Reported Outcome Measures ; Electronic Health Records ; United States ; Narration

Natural Language Processing Analysis of WhatsApp Messages to Identify Unrecognized HIV Prevention Needs Among Young Women in Kenya.

Authors: Haberer JE; Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA., Rono B; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya., Ravi R; North Carolina State University, Raleigh, North Carolina, USA., Bagaria V; North Carolina State University, Raleigh, North Carolina, USA., Shetty S; North Carolina State University, Raleigh, North Carolina, USA., Moparthi S; North Carolina State University, Raleigh, North Carolina, USA., Oware K; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya., Odoyo JB; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya., Garrison L; Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA., Rand W; North Carolina State University, Raleigh, North Carolina, USA., Bukusi EA; Centre for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya.; Departments of Obstetrics and Gynecology and Global Health, University of Washington, Seattle, Washington, USA.

Source: Journal of the International AIDS Society [J Int AIDS Soc] 2026 Oct; Vol. 29 (10), pp. e70214.

Publication Type: Journal Article

Journal Info: Publisher: John Wiley & Sons, Inc Country of Publication: Switzerland NLM ID: 101478566 Publication Model: Print Cited Medium: Internet ISSN: 1758-2652 (Electronic) Linking ISSN: 17582652 NLM ISO Abbreviation: J Int AIDS Soc Subsets: MEDLINE

MeSH Terms: HIV Infections*/prevention & control , Natural Language Processing* , Text Messaging* , Mobile Applications*, Humans ; Female ; Kenya ; Adolescent ; Young Adult ; Surveys and Questionnaires

Understanding Mothers' Experiences of Very Low Birth Weight Infants Across the Childbirth Trajectory in Japan: A Retrospective Analysis Using Natural Language Processing.

Authors: Kojima M; United Graduate School of Child Development, The University of Osaka, Suita, Osaka, Japan.; Department of Nursing-1, Aino University Junior College, Osaka, Japan., Yamamoto T; United Graduate School of Child Development, The University of Osaka, Suita, Osaka, Japan., Ishii A; Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, The University of Osaka, Suita, Osaka, Japan., Nishimura T; United Graduate School of Child Development, The University of Osaka, Suita, Osaka, Japan., Fujino H; United Graduate School of Child Development, The University of Osaka, Suita, Osaka, Japan.; Graduate School of Human Sciences, The University of Osaka, Suita, Osaka, Japan.

Source: Japan journal of nursing science : JJNS [Jpn J Nurs Sci] 2026 Oct; Vol. 23 (4), pp. e70079.

Publication Type: Journal Article

Journal Info: Publisher: Wiley on behalf of the Japan Academy of Nursing Science Country of Publication: Japan NLM ID: 101227890 Publication Model: Print Cited Medium: Internet ISSN: 1742-7924 (Electronic) Linking ISSN: 17427924 NLM ISO Abbreviation: Jpn J Nurs Sci Subsets: MEDLINE

MeSH Terms: Mothers*/psychology , Parturition*/psychology , Infant, Very Low Birth Weight* , Natural Language Processing*, Humans ; Japan ; Retrospective Studies ; Female ; Infant, Newborn ; Pregnancy ; Adult

Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.

Authors: Azubuike CD; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA., Farrag A; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA., Zandbiglari K; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA., Soliman A; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA.; Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA., Bagchi C; Department of Microbiology and Cell Sciences, University of Florida, Gainesville, FL, USA., Mehrabi F; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA., Adkins LE; Health Science Center Libraries, University of Florida, Gainesville, FL, USA., Rouhizadeh M; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA., Goodin A; Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA.

Source: Substance use & addiction journal [Subst Use Addctn J] 2026 Oct; Vol. 47 (4), pp. 1273-1287. Date of Electronic Publication: 2026 Jul 21.

Publication Type: Journal Article; Scoping Review

Journal Info: Publisher: Sage Publishing Country of Publication: United States NLM ID: 9918750589006676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2976-7350 (Electronic) Linking ISSN: 29767342 NLM ISO Abbreviation: Subst Use Addctn J Subsets: MEDLINE

MeSH Terms: Substance-Related Disorders*/diagnosis , Electronic Health Records* , Natural Language Processing*, Humans

Medical question answering: A comprehensive multimodal and LLM-driven survey.

Authors: Mhedhbi E; Declic AI Research, Riyadh, Saudi Arabia. Electronic address: mhedhbiaya99@gmail.com., Zhu X; Laboratoire Images, Signaux et Systèmes Intelligents (LISSI) EA 3956, Université Paris-Est Créteil (UPEC), 122 rue Paul Armangot Vitry-sur-Seine, 94400, Paris, France., Ayaz M; Department of Applied Art and Technology, Chung-Ang University, Anseong 17546, South Korea., Khan M; College of Information Technology, United Arab Emirates University (UAEU), Al Ain, United Arab Emirates. Electronic address: mustaqeemkhan@uaeu.ac.ae., Othmani A; Declic AI Research, Riyadh, Saudi Arabia; Laboratoire Images, Signaux et Systèmes Intelligents (LISSI) EA 3956, Université Paris-Est Créteil (UPEC), 122 rue Paul Armangot Vitry-sur-Seine, 94400, Paris, France.

Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Oct; Vol. 285, pp. 109541. Date of Electronic Publication: 2026 Jul 06.

Publication Type: Journal Article; Systematic Review

Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

MeSH Terms: Natural Language Processing* , Artificial Intelligence*, Large Language Models ; Humans ; Surveys and Questionnaires

Chain-of-verification prompting for NIH stroke scale extraction using small and frontier large language models.

Authors: Lott J; School of Medicine, Queen's University, 80 Barrie Street, Kingston, ON K7L 3N6, Canada., Stubbert B; Schulich School of Medicine & Dentistry, Western University, 1151 Richmond St, London, ON N6A 5C1, Canada., McShannon D; Faculty of Engineering, McMaster University, 1280 Main St W, Hamilton, ON L8S 4E7, Canada., Bellissimo J; School of Medicine, Queen's University, 80 Barrie Street, Kingston, ON K7L 3N6, Canada., Patel D; School of Medicine, Queen's University, 80 Barrie Street, Kingston, ON K7L 3N6, Canada., Dietrich N; Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, ON M5S 1A8, Canada. Electronic address: nicholas.dietrich@mail.utoronto.ca.

Source: International journal of medical informatics [Int J Med Inform] 2026 Oct; Vol. 219, pp. 106573. Date of Electronic Publication: 2026 Jun 25.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE

MeSH Terms: Stroke*/diagnosis , Electronic Health Records* , Natural Language Processing*, Large Language Models ; United States ; Humans ; National Institutes of Health (U.S.)

Clinical note comparison and data retrieval via embedding vectors: model selection, metrics, and convergence.

Authors: Dahlberg A; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Harjun terveys, Lahti, Finland. Electronic address: alexandra.dahlberg@helsinki.fi., Tapiola O; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland., Luisto R; Faculty of Information Technology, University of Jyväskylä, Finland; Digital Workforce Services Plc, Helsinki, Finland., Puranen T; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland., Sanmark E; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland., Vartiainen V; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland.

Source: International journal of medical informatics [Int J Med Inform] 2026 Oct; Vol. 219, pp. 106563. Date of Electronic Publication: 2026 Jun 23.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE

MeSH Terms: Information Storage and Retrieval*/methods , Semantics* , Natural Language Processing* , Electronic Health Records*, Humans ; Generative Artificial Intelligence ; Artificial Intelligence ; Finland

SPELL: A scalable NLP method using regular expressions and large language models for clinical information extraction.

Authors: Kleinlein R; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Bates DW; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Department of Health Care Policy and Management, Harvard T. H. Chan School of Public Health, Boston, MA, USA., Guan C; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Gray KJ; Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA., Kovacheva VP; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: vkovacheva@bwh.harvard.edu.

Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Oct; Vol. 285, pp. 109517. Date of Electronic Publication: 2026 Jun 14.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE

MeSH Terms: Information Storage and Retrieval*/methods , Large Language Models* , Natural Language Processing* , Electronic Health Records*, Data Mining/methods ; Humans

Analysis of Autistic Adolescents' Essays Using Computer Techniques.

Authors: Chojnicka I; Faculty of Psychology, University of Warsaw, Stawki 5/7, Warsaw, 00-183, Poland. izabela.chojnicka@psych.uw.edu.pl., Wawer A; Institute of Computer Science, Polish Academy of Sciences, Warsaw, 01- 248, Poland.

Source: Journal of autism and developmental disorders [J Autism Dev Disord] 2026 Oct; Vol. 56 (10), pp. 4183-4189. Date of Electronic Publication: 2024 Jul 27.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7904301 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-3432 (Electronic) Linking ISSN: 01623257 NLM ISO Abbreviation: J Autism Dev Disord Subsets: MEDLINE

MeSH Terms: Autistic Disorder*/psychology , Narration* , Writing* , Natural Language Processing*, Humans ; Adolescent ; Female ; Male ; Comprehension

Natural Language Processing Algorithm Accurately Classifies Diverticulitis-Related Complications and Predicts Long-Term Outcomes.

Authors: Ma W; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Wu Y; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Challa PK; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Sikavi D; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Downie JM; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Nguyen LH; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Raghu VK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Simon TG; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Khalili H; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Kambadakone AR; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Ananthakrishnan AN; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts., Strate LL; Division of Gastroenterology and Hepatology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin., Chan AT; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Boston, Massachusetts; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address: achan@mgh.harvard.edu.

Source: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association [Clin Gastroenterol Hepatol] 2026 Oct; Vol. 24 (10), pp. 2860-2869. Date of Electronic Publication: 2026 Mar 23.

Publication Type: Journal Article

Journal Info: Publisher: W.B. Saunders for the American Gastroenterological Association Country of Publication: United States NLM ID: 101160775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-7714 (Electronic) Linking ISSN: 15423565 NLM ISO Abbreviation: Clin Gastroenterol Hepatol Subsets: MEDLINE

MeSH Terms: Diverticulitis*/complications , Diverticulitis*/classification , Diverticulitis*/diagnosis , Natural Language Processing* , Algorithms*, Humans ; Male ; Female ; Tomography, X-Ray Computed ; Aged ; Middle Aged ; Recurrence ; Aged, 80 and over

Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms.

Authors: Wiebel C; Department of Psychology, Lund University, Box 213, Allhelgona Kyrkogata 16A, 16B, 18A, 18B och 18C, Lund, Skåne, 22350, Sweden, +46 46 222 00 00.; School of Management, Technical University of Munich, Heilbronn, Baden-Württemberg, Germany., Eijsbroek VC; Department of Psychology, Lund University, Box 213, Allhelgona Kyrkogata 16A, 16B, 18A, 18B och 18C, Lund, Skåne, 22350, Sweden, +46 46 222 00 00., Varadarajan V; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, United States., Kjell K; Department of Psychology, Lund University, Box 213, Allhelgona Kyrkogata 16A, 16B, 18A, 18B och 18C, Lund, Skåne, 22350, Sweden, +46 46 222 00 00., Schwartz HA; College of Connected Computing, Vanderbilt University, Nashville, TN, United States., Kjell O; Department of Psychology, Lund University, Box 213, Allhelgona Kyrkogata 16A, 16B, 18A, 18B och 18C, Lund, Skåne, 22350, Sweden, +46 46 222 00 00.; College of Connected Computing, Vanderbilt University, Nashville, TN, United States.

Source: JMIR mental health [JMIR Ment Health] 2026 Sep 25; Vol. 13, pp. e105460. Date of Electronic Publication: 2026 Sep 25.

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101658926 Publication Model: Electronic Cited Medium: Internet ISSN: 2368-7959 (Electronic) Linking ISSN: 23687959 NLM ISO Abbreviation: JMIR Ment Health Subsets: MEDLINE

MeSH Terms: Depression*/diagnosis , Anxiety*/diagnosis , Natural Language Processing*, Humans ; Adult ; Female ; Male ; Middle Aged ; Large Language Models ; Machine Learning ; Reproducibility of Results ; Young Adult

Validation of a Natural Language Processing-Assisted Chart Review Method for Identifying Advance Care Planning Documentation in Pediatric Critical Illness.

Authors: Upham EJ; Division of Medical Critical Care, Department of Pediatrics, Boston Children's Hospital, Boston, MA.; Department of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA., Gouda SR; Division of Medical Critical Care, Department of Pediatrics, Boston Children's Hospital, Boston, MA.; Department of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA.; Harvard Medical School, Boston, MA., Lindvall C; Department of Supportive Oncology, Dana-Farber Cancer Institute, Boston, MA.; Harvard Medical School, Boston, MA., DeCourcey DD; Division of Medical Critical Care, Department of Pediatrics, Boston Children's Hospital, Boston, MA.; Harvard Medical School, Boston, MA.

Source: Critical care explorations [Crit Care Explor] 2026 Sep 25; Vol. 8 (10), pp. e1494. Date of Electronic Publication: 2026 Sep 25 (Print Publication: 2026).

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101746347 Publication Model: eCollection Cited Medium: Internet ISSN: 2639-8028 (Electronic) Linking ISSN: 26398028 NLM ISO Abbreviation: Crit Care Explor Subsets: MEDLINE

MeSH Terms: Advance Care Planning*/standards , Advance Care Planning*/statistics & numerical data , Critical Illness*/therapy , Documentation*/methods , Documentation*/standards , Natural Language Processing*, Humans ; Retrospective Studies ; Electronic Health Records ; Child ; Female ; Male ; Adolescent ; Child, Preschool ; Intensive Care Units, Pediatric ; Infant

Automated Brief Hospital Course Summarization in Cardiac Surgery Using a Lightweight Large Language Model-Based Framework: Development and Evaluation Study on the Medical Information Mart for Intensive Care-IV.

Authors: Gao X; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.; Information Center, First Hospital of Tsinghua University, Beijing, China., Wang Y; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Wang Z; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Yuan J; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Huang S; Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China., Zhang XY; Institute of Automation of Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Sun Z; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Xing Y; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Liu Y; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Wu X; Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Hu Z; Department of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China., Zhao W; Statistical Information Center of the National Health Commission, Beijing, China.

Source: Journal of medical Internet research [J Med Internet Res] 2026 Sep 24; Vol. 28, pp. e90870. Date of Electronic Publication: 2026 Sep 24.

Publication Type: Journal Article; Evaluation Study

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

MeSH Terms: Cardiac Surgical Procedures*/education , Natural Language Processing*, Large Language Models ; Humans

Practical Guide to Large Language Models for Information Extraction in Behavioral Health Notes: Tutorial.

Authors: Saha D; Department of Computer Science, University of California, Irvine, 6210 Donald Bren Hall, Irvine, CA, 92697, United States, 1 9498247427., Edgcomb JB; Center for Community Health, UCLA Mental Health Informatics & Data Science (MINDS) Hub, University of California, Los Angeles, Los Angeles, CA, United States.

Source: JMIR mental health [JMIR Ment Health] 2026 Sep 24; Vol. 13, pp. e97498. Date of Electronic Publication: 2026 Sep 24.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101658926 Publication Model: Electronic Cited Medium: Internet ISSN: 2368-7959 (Electronic) Linking ISSN: 23687959 NLM ISO Abbreviation: JMIR Ment Health Subsets: MEDLINE

MeSH Terms: Information Storage and Retrieval*/methods , Large Language Models* , Electronic Health Records* , Natural Language Processing*, Humans

Semantic Similarity Search Approach to Extract Exemplars of Stigmatizing and Positive Language in Obstetric Clinical Notes: Exploratory Study.

Authors: Scroggins JK; School of Nursing, University of North Carolina at Chapel Hill, 120 Medical Drive, Chapel Hill, NC, 27514, United States, 1 (919) 966-4260., Hulchafo II; School of Nursing, Columbia University, New York, NY, United States., Barcelona V; School of Nursing, Columbia University, New York, NY, United States., Davoudi A; VNS Health, New York, NY, United States., Moen H; Department of Computer Science, Aalto University, Espoo, Finland., Harkins S; School of Nursing, Columbia University, New York, NY, United States., Scharp D; Icahn School of Medicine at Mount Sinai, New York, NY, United States., Cato K; School of Nursing, University of Pennsylvania, Philadelphia, PA, United States., Tadiello M; Center for Community-Engaged Health Informatics and Data Science, Columbia University Irving Medical Center, New York, NY, United States., Topaz M; School of Nursing, Columbia University, New York, NY, United States.

Source: JMIR medical informatics [JMIR Med Inform] 2026 Sep 22; Vol. 14, pp. e85088. Date of Electronic Publication: 2026 Sep 22.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE

MeSH Terms: Electronic Health Records*/statistics & numerical data , Obstetrics*/methods , Natural Language Processing* , Semantics* , Stereotyping*, Humans ; Female ; Pregnancy ; United States ; Language

A domain-specific annotation framework and expert-annotated corpus for structured analysis of German HNSCC pathology reports.

Authors: Gubik S; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany. gubik_s@ukw.de., Seger F; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Vollmer A; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Hörner M; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Renner T; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Kohlhepp L; CAIDAS (Center of AI and Data Science), University Würzburg, Würzburg, Germany., Manthey M; Institute of Pathology, University of Würzburg, Würzburg, Germany., Müller-Richter U; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Kübler A; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany., Hackenberg S; Department of Otorhinolaryngology, Plastic, Aesthetic, and Reconstructive Head and Neck Surgery, University Hospital Würzburg, Würzburg, Germany., Hartmann S; Department of Oral and Maxillofacial Plastic Surgery - Head and Neck surgery, University Hospital of Würzburg, Pleicherwall 2, Würzburg, Germany.

Source: BMC research notes [BMC Res Notes] 2026 Sep 21; Vol. 19 (1). Date of Electronic Publication: 2026 Sep 21.

Publication Type: Journal Article

Journal Info: Publisher: Biomed Central Country of Publication: England NLM ID: 101462768 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-0500 (Electronic) Linking ISSN: 17560500 NLM ISO Abbreviation: BMC Res Notes Subsets: MEDLINE

MeSH Terms: Head and Neck Neoplasms*/pathology , Squamous Cell Carcinoma of Head and Neck*/pathology , Data Mining*/methods , Natural Language Processing*, Humans ; Germany

Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System.

Authors: Wattar A; Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany., Christoph J; Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany., Demus C; Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany., Liegel P; Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany., Jäger C; Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 Sep 17; Vol. 340, pp. 187-198.

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: Large Language Models* , Benchmarking* , Natural Language Processing* , Electronic Health Records*, Humans ; Semantics

Large Language Model-Based Text-to-Cypher Generation for Question-Answering on Biomedical Knowledge Graphs.

Authors: Seeha S; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Abdelmoula A; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Boeker M; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Modersohn L; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Pallaoro P; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital.; Technical University of Munich, TUM School of Medicine and Health, Data Integration Center, TUM University Hospital.

Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 Sep 17; Vol. 340, pp. 179-186.

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: Information Storage and Retrieval*/methods , Large Language Models* , Natural Language Processing*, Humans

Large Language Models for Clinical Note Simplification: A Systematic Review and Experimental Evaluation of Medical Text Readability.

Authors: Teichmann M; Brandenburg University of Applied Science, Brandenburg a. d. Havel, Germany., Özkara Menekseoglu P; Department of Psychiatry and Psychotherapy, Immanuel Klinik Rüdersdorf, Brandenburg Medical School Theodor Fontane, Rüdersdorf, Germany., Schwarz J; Department of Psychiatry and Psychotherapy, Immanuel Klinik Rüdersdorf, Brandenburg Medical School Theodor Fontane, Rüdersdorf, Germany., Karbach U; Institute of Medical Sociology, Health Services Research, and Rehabilitation Science (IMVR), Cologne, Germany., Purohit AM; Brandenburg University of Applied Science, Brandenburg a. d. Havel, Germany.

Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 Sep 17; Vol. 340, pp. 148-162.

Publication Type: Journal Article; Systematic Review

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: Large Language Models* , Comprehension* , Electronic Health Records* , Natural Language Processing*, Humans ; Germany

Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study.

Authors: Luo Z; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.; Health Sciences Integrated Program, Northwestern University Feinberg School of Medicine, Chicago, IL, United States., Epstein RA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.; Health Sciences Integrated Program, Northwestern University Feinberg School of Medicine, Chicago, IL, United States., Sambamoorthi N; School of Professional Studies, Northwestern University, Chicago, IL, United States., Muhammad LN; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States., Jordan N; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Source: JMIR public health and surveillance [JMIR Public Health Surveill] 2026 Sep 16; Vol. 12, pp. e99643. Date of Electronic Publication: 2026 Sep 16.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101669345 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-2960 (Electronic) Linking ISSN: 23692960 NLM ISO Abbreviation: JMIR Public Health Surveill Subsets: MEDLINE

MeSH Terms: Child Abuse*/statistics & numerical data , Child Abuse*/prevention & control , Natural Language Processing*, United States/epidemiology ; Cross-Sectional Studies ; Humans ; Child