Enabling Just-in-Time Clinical Oncology Analysis With Large Language Models: Feasibility and Validation Study Using Unstructured Synthetic Data.

Συγγραφείς: May P; Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, Munich, Germany, 49 89-4140-8753., Greß J; Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, Munich, Germany, 49 89-4140-8753.; MPiriQ Science Technologies GmbH, Munich, Germany., Seidel C; Department of Oncology, Hematology and Bone Marrow Transplantation with Division of Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Sommer S; MVZ Elisenhof, Munich, Germany., Schuler MK; MPiriQ Science Technologies GmbH, Munich, Germany.; Onkologischer Schwerpunkt am Oskar-Helene Heim, Berlin, Germany., Nokodian S; Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, Munich, Germany, 49 89-4140-8753., Schröder F; MPiriQ Science Technologies GmbH, Munich, Germany., Jung J; Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, Munich, Germany, 49 89-4140-8753.; Department of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany.

Πηγή: JMIR medical informatics [JMIR Med Inform] 2025 Dec 01; Vol. 13, pp. e78332. Date of Electronic Publication: 2025 Dec 01.

Τύπος έκδοσης: Journal Article; Validation Study

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Natural Language Processing* , Medical Oncology*/methods, Humans ; Feasibility Studies ; Lung Neoplasms/mortality ; Carcinoma, Non-Small-Cell Lung ; Large Language Models

Medical Students' Perception of Automated Note Feedback After Simulated Encounters.

Συγγραφείς: Bansal SK; Department of Internal Medicine, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA., Yadav M; Department of Internal Medicine, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA., Zhou J; Department of Computer Science, University of Illinois, Urbana-Champaign, Illinois, USA., Ebert-Allen RA; Jump Simulation, an OSF HealthCare and University of Illinois College of Medicine at Peoria Collaboration, Peoria, Illinois, USA., Klute RM; Jump Simulation, an OSF HealthCare and University of Illinois College of Medicine at Peoria Collaboration, Peoria, Illinois, USA., Bond WF; Jump Simulation, an OSF HealthCare and University of Illinois College of Medicine at Peoria Collaboration, Peoria, Illinois, USA.; Department of Emergency Medicine, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA., Bhat S; Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Illinois, USA.

Πηγή: The clinical teacher [Clin Teach] 2025 Dec; Vol. 22 (6), pp. e70273.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Blackwell Pub Country of Publication: England NLM ID: 101227511 Publication Model: Print Cited Medium: Internet ISSN: 1743-498X (Electronic) Linking ISSN: 17434971 NLM ISO Abbreviation: Clin Teach Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Students, Medical*/psychology , Natural Language Processing* , Educational Measurement*/methods , Formative Feedback* , Education, Medical, Undergraduate*/methods, Humans ; Feedback ; Focus Groups

Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Συγγραφείς: Wang C; Department of Computer Science, Stony Brook University, NY, USA., Banerjee R; Department of Computer Science, Stony Brook University, NY, USA., Kuperstein H; Renaissance School of Medicine, Stony Brook University, NY, USA., Malick H; Renaissance School of Medicine, Stony Brook University, NY, USA., Bano R; Department of Medicine, Stony Brook University, NY, USA., Cunningham RL; Department of Radiology, Stony Brook University, NY, USA., Tahir H; Department of Medicine, Stony Brook University, NY, USA., Sakhuja P; Department of Medicine, Stony Brook University, NY, USA., Hajagos J; Department of Biomedical Informatics, Stony Brook University, NY, USA., Koraishy FM; Department of Medicine, Stony Brook University, NY, USA.

Πηγή: Renal failure [Ren Fail] 2025 Dec; Vol. 47 (1), pp. 2539938. Date of Electronic Publication: 2025 Aug 04.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Informa Healthcare Country of Publication: England NLM ID: 8701128 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-6049 (Electronic) Linking ISSN: 0886022X NLM ISO Abbreviation: Ren Fail Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Natural Language Processing* , Renal Insufficiency, Chronic*/diagnostic imaging , Renal Insufficiency, Chronic*/diagnosis , Kidney*/diagnostic imaging , Kidney*/pathology, Humans ; Ultrasonography/methods ; Female ; Male ; Middle Aged ; Pilot Projects ; Aged ; Adult ; Logistic Models

Efficient extraction of medication information from clinical notes: an evaluation in 2 languages.

Συγγραφείς: Fabacher T; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France.; IMAGeS, ICube Laboratory, Université de Strasbourg, CNRS, UMR 7357, Strasbourg, 67000, France.; Inria, Inserm, Université Paris Cité, Paris, 75013, France., Sauleau EA; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France.; IMAGeS, ICube Laboratory, Université de Strasbourg, CNRS, UMR 7357, Strasbourg, 67000, France., Arcay E; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France., Faye B; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France., Alter M; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France., Chahard A; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France., Miraillet N; Service de Santé Publique, University Hospital of Strasbourg, Strasbourg, 67000, France., Coulet A; Inria, Inserm, Université Paris Cité, Paris, 75013, France., Névéol A; CNRS, LISN, Université Paris-Saclay, Orsay, 91405, France.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Dec 01; Vol. 32 (12), pp. 1855-1864.

Τύπος έκδοσης: Journal Article; Evaluation Study

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Natural Language Processing* , Electronic Health Records* , Information Storage and Retrieval*/methods, Humans ; Language

Machine learning and graph-based connectivity metrics identify language disruption in psychosis: Novel insights from dream reports in an Italian cohort.

Συγγραφείς: Camon E; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. Electronic address: elena.camon01@universitadipavia.it., Masier S; Department of Health Sciences, University of Milan, Milan, Italy., Mota NB; Institute of Psychiatry at Federal University of Rio de Janeiro - IPUB/UFRJ, Rio de Janeiro, Brazil; Research department at Mobile Brain, Rio de Janeiro, Brazil., D'Agostino A; Department of Health Sciences, University of Milan, Milan, Italy.

Πηγή: Schizophrenia research [Schizophr Res] 2025 Dec; Vol. 286, pp. 55-62. Date of Electronic Publication: 2025 Oct 20.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Science Publisher B. V Country of Publication: Netherlands NLM ID: 8804207 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2509 (Electronic) Linking ISSN: 09209964 NLM ISO Abbreviation: Schizophr Res Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Psychotic Disorders*/complications , Psychotic Disorders*/physiopathology , Machine Learning* , Natural Language Processing* , Dreams* , Language Disorders*/etiology , Language Disorders*/diagnosis, Humans ; Male ; Female ; Italy ; Adult ; Young Adult ; Cohort Studies ; Middle Aged ; Bayes Theorem

Improving postoperative length of stay forecasting with retrieval-augmented prediction.

Συγγραφείς: Park BH; Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, La Jolla, CA 92037, United States., Hsu CN; Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, La Jolla, CA 92037, United States., Nguyen A; School of Medicine, University of California San Diego, La Jolla, CA 92037, United States., Zhou YQ; Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, La Jolla, CA 92037, United States., Gabriel RA; Division of Perioperative Informatics, Department of Anesthesiology, University of California San Diego, La Jolla, CA 92037, United States.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Dec 01; Vol. 32 (12), pp. 1927-1935.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Length of Stay* , Electronic Health Records* , Machine Learning* , Natural Language Processing* , Spine*/surgery, Humans ; Forecasting

DialogueLLM: Context and emotion knowledge-tuned large language models for emotion recognition in conversations.

Συγγραφείς: Zhang Y; College of Intelligence and Computing, Tianjin University, Tianjin, China; School of Nursing, The Hong Kong Polytechnic University, Hong Kong. Electronic address: yzzhang@zzuli.edu.cn., Wang M; Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou, China. Electronic address: wangmengyao516@outlook.com., Wu Y; School of Artificial Intelligence, Hebei University of Technology, Tianjin, China. Electronic address: wuc@scse.hebut.edu.cn., Tiwari P; School of Information Technology, Halmstad University, Sweden. Electronic address: prayag.tiwari@ieee.org., Li Q; Department of Computer Science, University of Copenhagen, Denmark. Electronic address: qiuchi.li@di.ku.dk., Wang B; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China., Qin J; School of Nursing, The Hong Kong Polytechnic University, Hong Kong. Electronic address: harry.qin@polyu.edu.hk.

Πηγή: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 Dec; Vol. 192, pp. 107901. Date of Electronic Publication: 2025 Jul 23.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Emotions*/physiology , Language* , Natural Language Processing* , Recognition, Psychology*/physiology , Neural Networks, Computer*, Humans ; Large Language Models

Unhealthy alcohol use detection in electronic health records: A comparative study using natural language processing.

Συγγραφείς: Ju X; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA., Solka J; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA., Weber K; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA., Vydiswaran VV; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA; School of Information, University of Michigan, Ann Arbor, MI, USA., Lin LA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Michigan Innovations in Addiction Care through Research & Education (MI-ACRE), Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA., Bonar EE; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Michigan Innovations in Addiction Care through Research & Education (MI-ACRE), Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA., Fernandez AC; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Michigan Innovations in Addiction Care through Research & Education (MI-ACRE), Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA. Electronic address: acfernan@umich.edu.

Πηγή: Drug and alcohol dependence [Drug Alcohol Depend] 2025 Dec 01; Vol. 277, pp. 112920. Date of Electronic Publication: 2025 Oct 10.

Τύπος έκδοσης: Journal Article; Comparative Study

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Ireland NLM ID: 7513587 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0046 (Electronic) Linking ISSN: 03768716 NLM ISO Abbreviation: Drug Alcohol Depend Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Natural Language Processing* , Electronic Health Records* , Alcoholism*/diagnosis , Alcoholism*/epidemiology , Alcohol Drinking*/epidemiology, Humans ; Female ; Male ; Middle Aged ; Adult ; Primary Health Care ; Prospective Studies ; Young Adult ; Aged

Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features.

Συγγραφείς: Nateghi Haredasht F; Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, United States., Lopez I; Stanford University School of Medicine, Stanford, CA 94305, United States.; Department of Biomedical Data Science, Stanford, CA 94305, United States., Tate S; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States., Ashtari P; Department of Electrical Engineering (ESAT), STADIUS Center, KU Leuven, 3001 Leuven, Belgium., Chan MM; KKT Technologies, Pte. Ltd., 139951, Singapore.; Holmusk Technologies, Inc., NY 10012, United States., Kulkarni D; KKT Technologies, Pte. Ltd., 139951, Singapore.; Holmusk Technologies, Inc., NY 10012, United States., Chen CA; Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States., Vangala M; Holmusk Technologies, Inc., NY 10012, United States., Griffith K; Holmusk Europe, Ltd., London, United Kingdom., Bunning B; Department of Biomedical Data Science, Stanford, CA 94305, United States., Miner AS; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States., Hernandez-Boussard T; Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, United States., Humphreys K; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States.; Veterans Affairs Health Care System, Palo Alto, CA 94304, United States., Lembke A; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States., Vance LA; Holmusk Technologies, Inc., NY 10012, United States., Chen JH; Stanford Center for Biomedical Informatics Research, Stanford, CA 94305, United States.; Division of Hospital Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.; Clinical Excellence Research Center, Stanford School of Medicine, Stanford, CA 94305, United States.; Department of Medicine, Stanford, CA 94305, United States.

Πηγή: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Dec 01; Vol. 32 (12), pp. 1865-1876.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Machine Learning* , Opioid-Related Disorders*/drug therapy , Natural Language Processing* , Buprenorphine, Naloxone Drug Combination*/therapeutic use , Opiate Substitution Treatment* , Narcotic Antagonists*/therapeutic use, Humans ; Electronic Health Records ; Female ; Male ; ROC Curve ; Adult ; Logistic Models ; Buprenorphine/therapeutic use

Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

Συγγραφείς: Tang J; Department of Information, Daping Hospital, Army Medical University, Chongqing, 400042, China., Li T; Department of Shock and Transfusion, State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, China., Liu L; Department of Shock and Transfusion, State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, China. lmliu62@tmmu.edu.cn., Wu D; Department of Information, Daping Hospital, Army Medical University, Chongqing, 400042, China. 604269346@qq.com.

Πηγή: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Dec; Vol. 63 (12), pp. 3521-3530. Date of Electronic Publication: 2025 Jul 11.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Machine Learning* , Natural Language Processing* , Wounds and Injuries*/classification, Humans ; Algorithms ; Female ; Emergency Medical Services ; Male

Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review.

Συγγραφείς: Jafarpour H; Concordia University, Gina Cody School of Engineering and Computer Science, Concordia Institute for Information Systems Engineering, 1515 Sainte Catherine West, Montreal, H3G 2W1, Quebec, Canada. Electronic address: hamed.jafarpour@concordia.ca., Wu G; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: Guosong.wu@ucalgary.ca., Cheligeer CK; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: cheligeerken@ucalgary.ca., Yan J; Concordia University, Gina Cody School of Engineering and Computer Science, Concordia Institute for Information Systems Engineering, 1515 Sainte Catherine West, Montreal, H3G 2W1, Quebec, Canada. Electronic address: jun.yan@concordia.ca., Xu Y; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: yuxu@ucalgary.ca., Southern DA; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: dasouthe@ucalgary.ca., Eastwood CA; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: caeastwo@ucalgary.ca., Zeng Y; Concordia University, Gina Cody School of Engineering and Computer Science, Concordia Institute for Information Systems Engineering, 1515 Sainte Catherine West, Montreal, H3G 2W1, Quebec, Canada. Electronic address: yong.zeng@concordia.ca., Quan H; University of Calgary, Department of Community Health Sciences, Cumming School of Medicine, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada. Electronic address: hquan@ucalgary.ca.

Πηγή: Artificial intelligence in medicine [Artif Intell Med] 2025 Dec; Vol. 170, pp. 103281. Date of Electronic Publication: 2025 Oct 08.

Τύπος έκδοσης: Journal Article; Scoping Review

Στοιχεία περιοδικού: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Electronic Health Records* , Medical Errors* , Natural Language Processing*, Humans ; Machine Learning ; Narration

Role of large language models for etiological classification of brain stroke based on MRI brain reports: a feasibility study.

Συγγραφείς: Escartín J; Neurorradiología Diagnostica e Intervencionista, HT Médica Ávila, Spain. Electronic address: j.escartin@htmedica.com., López-Úbeda P; NLP department, HT medica, Jaén, Spain. Electronic address: p.lopez@htmedica.com., Martín-Noguerol T; MRI unit, Radiology department, HT medica, Jaén, Spain. Electronic address: t.martin.f@htime.org., Luna A; MRI unit, Radiology department, HT medica, Jaén, Spain. Electronic address: aluna70@htmedica.com.

Πηγή: Magnetic resonance imaging [Magn Reson Imaging] 2025 Dec; Vol. 124, pp. 110538. Date of Electronic Publication: 2025 Oct 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Magnetic Resonance Imaging*/methods , Natural Language Processing* , Brain*/diagnostic imaging , Stroke*/diagnostic imaging , Stroke*/classification , Stroke*/etiology, Humans ; Feasibility Studies ; Algorithms ; Image Interpretation, Computer-Assisted/methods ; Large Language Models

Topic modeling and sentiment analysis of Greek clinician-patient conversations in hematologic malignancies.

Συγγραφείς: Chatzimina ME; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion 71004, Greece; Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion 700 13, Greece. Electronic address: hatzimin@hmu.gr., Papadaki HA; Department of Hematology, School of Medicine University of Crete, Heraklion 71003, Greece., Pontikoglou C; Department of Hematology, School of Medicine University of Crete, Heraklion 71003, Greece., Tsiknakis M; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion 71004, Greece; Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion 700 13, Greece.

Πηγή: International journal of medical informatics [Int J Med Inform] 2025 Dec; Vol. 204, pp. 106071. Date of Electronic Publication: 2025 Jul 30.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Hematologic Neoplasms*/psychology , Hematologic Neoplasms*/therapy , Natural Language Processing* , Physician-Patient Relations* , Communication*, Humans ; Greece ; Emotions ; Male ; Female ; Palliative Care

GrantCheck-an AI Solution for Guiding Grant Language to New Policy Requirements: Development Study.

Συγγραφείς: Shi Q; Center for Clinical and Translational Science, UMass Chan Medical School, Worcester, MA, United States., Oztekin A; Manning School of Business, UMass Lowell, Lowell, MA, United States., Matthew G; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Bortle J; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Jenkins H; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Wong SK; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States., Langlois P; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Zaki A; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Coleman B; Information Technology, UMass Chan Medical School, Worcester, MA, United States., Luzuriaga K; Center for Clinical and Translational Science, UMass Chan Medical School, Worcester, MA, United States., Zai AH; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.

Πηγή: JMIR formative research [JMIR Form Res] 2025 Nov 27; Vol. 9, pp. e79038. Date of Electronic Publication: 2025 Nov 27.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Artificial Intelligence* , Natural Language Processing* , Writing* , Research Support as Topic*, Humans

Turning Patients' Open-Ended Narratives of Chronic Pain Into Quantitative Measures: Natural Language Processing Study.

Συγγραφείς: Norel R; IBM (United States), Yorktown Heights, NY, United States., Gewandter J; Department of Anesthesiology and Perioperative Medicine, School of Medicine and Dentistry, University of Rochester, Rochester, NY, United States., Zhang Z; Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, United States., Tahsin A; Department of Psychiatry, University of Rochester, Rochester, NY, United States., Abdallah CG; Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States., Markman J; Eli Lilly (United States), Chestnut Hill, MA, United States., Duan Z; Department of Psychiatry, University of Rochester, Rochester, NY, United States., Cecchi G; IBM (United States), Yorktown Heights, NY, United States., Geha P; Department of Psychiatry, University of Rochester, Rochester, NY, United States.

Πηγή: JMIR human factors [JMIR Hum Factors] 2025 Nov 25; Vol. 12, pp. e80269. Date of Electronic Publication: 2025 Nov 25.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101666561 Publication Model: Electronic Cited Medium: Internet ISSN: 2292-9495 (Electronic) Linking ISSN: 22929495 NLM ISO Abbreviation: JMIR Hum Factors Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Natural Language Processing* , Chronic Pain*/psychology , Chronic Pain*/diagnosis , Pain Measurement*/methods , Narration* , Low Back Pain*/psychology, Humans ; Female ; Male ; Middle Aged ; Adult ; Pilot Projects ; Surveys and Questionnaires ; Aged ; Quality of Life

Keyphrase extraction by the use of glove and ResNeXt optimized by enhanced human evolutionary optimization (EHEO) algorithm.

Συγγραφείς: Pan C; Hunan Mass Media Vocational and Technical College, Changsha, 410100, Hunan, China., Liu Y; Hunan Mass Media Vocational and Technical College, Changsha, 410100, Hunan, China. L76ysh@163.com., Sarabi M; Sharif University of Technology, Tehran, Iran. sarabimohammad1990@gmail.com.; College of Technical Engineering, The Islamic University, Najaf, Iraq. sarabimohammad1990@gmail.com.

Πηγή: Scientific reports [Sci Rep] 2025 Nov 24; Vol. 15 (1), pp. 41529. Date of Electronic Publication: 2025 Nov 24.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Algorithms* , Natural Language Processing* , Data Mining*/methods, Humans ; Neural Networks, Computer ; Support Vector Machine

Effects of education level on natural language processing in cardiovascular health communication.

Συγγραφείς: Joseph S; Medical College of Georgia, Augusta University, Augusta, GA, United States., Bhardwaj A; Medical College of Georgia, Augusta University, Augusta, GA, United States., Skariah J; Medical College of Georgia, Augusta University, Augusta, GA, United States., Aggarwal I; Medical College of Georgia, Augusta University, Augusta, GA, United States., Shah V; Case Western Reserve University School of Medicine, Cleveland, OH, United States., Harris RA; Medical College of Georgia, Augusta University, Augusta, GA, United States.; Georgia Prevention Institute, Augusta University, Augusta, GA, United States.

Πηγή: Frontiers in public health [Front Public Health] 2025 Nov 13; Vol. 13, pp. 1688173. Date of Electronic Publication: 2025 Nov 13 (Print Publication: 2025).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cardiovascular Diseases* , Natural Language Processing* , Educational Status* , Health Communication*/methods , Health Literacy*, Humans ; Comprehension

Translating Natural Language Questions into SNOMED Expression Constraint Language.

Συγγραφείς: Ngo H; The Australian E-Health Research Centre, CSIRO.

Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Nov 12; Vol. 333, pp. 58-63.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: 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

Ιατρικοί όροι (MeSH): Natural Language Processing* , Systematized Nomenclature of Medicine* , Translating*, Humans

Advancing delirium detection through the Open Health Natural Language Processing Consortium and the Evolve to Next-Gen Accrual to Clinical Trials Network.

Συγγραφείς: Fu S; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States., Kwak MJ; McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States., Ahn J; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States., Yue Z; School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, United States., Ranganath S; McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States., Applegate JR; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States., Wen A; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States., Wang L; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States., Li C; Department of Health Information Management, University of Pittsburgh, Pittsburgh, Pennsylvania, United States., Morris M; Department of Health Information Management, University of Pittsburgh, Pittsburgh, Pennsylvania, United States., Toth KM; Center for Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) in the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States., Girard TD; Center for Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) in the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States., Osborne JD; Department of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, Alabama, United States., Kennedy RE; Department of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, Alabama, United States., Garduno-Rapp NE; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States., Reeder P; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States., Rousseau JF; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.; Biostatistics and Clinical Informatics Division, Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, United States., Yan C; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Chen Y; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States., Patel MB; Section of Surgical Sciences, Division of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Murphy TJ; Section of Surgical Sciences, Division of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States., Malin BA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States., Park CM; Department of Gerontology, Hebrew SeniorLife, Marcus Institute for Aging Research, Boston, Massachusetts, United States., Jia H; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, United States., Pagali S; Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States., Palmer AK; Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States., Sauver JS; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, United States., Sohn S; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, United States., Bernstam EV; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States.; McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, United States., Visweswaran S; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States., Wang Y; Department of Health Information Management, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States., Liu H; McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, United States.

Πηγή: The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2025 Nov 06; Vol. 80 (12).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: published on behalf of the Gerontological Society of America by Oxford University Press Country of Publication: United States NLM ID: 9502837 Publication Model: Print Cited Medium: Internet ISSN: 1758-535X (Electronic) Linking ISSN: 10795006 NLM ISO Abbreviation: J Gerontol A Biol Sci Med Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Natural Language Processing* , Delirium*/diagnosis , Electronic Health Records*, Humans ; Clinical Trials as Topic

Natural language processing improves reliable identification of COVID-19 compared to diagnostic codes alone.

Συγγραφείς: Hendrix N; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Parikh RV; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States., Taskier M; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Walter G; Robert Graham Center, American Academy of Family Physicians, Washington, DC 20036, United States., Phillips RL; Center for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC 20036, United States., Rehkopf DH; Department of Epidemiology and Population Health, Stanford School of Medicine, Palo Alto, CA 94304, United States.

Πηγή: American journal of epidemiology [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3348-3354.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Natural Language Processing* , COVID-19*/diagnosis , COVID-19*/epidemiology , COVID-19*/ethnology, Humans ; Male ; Middle Aged ; Female ; Adult ; Aged ; SARS-CoV-2 ; International Classification of Diseases ; Adolescent ; Young Adult ; Primary Health Care ; Sensitivity and Specificity ; Electronic Health Records ; United States/epidemiology