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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

David Chen, Saif Addeen Alnassar, Kate Elizabeth Avison, Ryan S Huang, Srinivas Raman

JMIR Cancer 2025;11:e65984

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Peer Review of “Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance”

Daniela Saderi, Goktug Bender, Toba Olatoye, Arya Rahgozar, Uday Kumar Chalwadi, Eudora Nwanaforo, Paul Hassan Ilegbusi, Sylvester Sakilay, Mitchell Collier

JMIRx Med 2025;6:e73264

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Authors’ Response to Peer Reviews of “Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance”

Masab Mansoor, Andrew F Ibrahim, David Grindem, Asad Baig

JMIRx Med 2025;6:e73258

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Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Masab Mansoor, Andrew F Ibrahim, David Grindem, Asad Baig

JMIRx Med 2025;6:e65263

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Using Synthetic Health Care Data to Leverage Large Language Models for Named Entity Recognition: Development and Validation Study

Hendrik Šuvalov, Mihkel Lepson, Veronika Kukk, Maria Malk, Neeme Ilves, Hele-Andra Kuulmets, Raivo Kolde

J Med Internet Res 2025;27:e66279

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Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Nicholas H Mast, Clara L. Oeste, Dries Hens

JMIR Med Inform 2025;13:e64705

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ChatGPT’s Performance on Portuguese Medical Examination Questions: Comparative Analysis of ChatGPT-3.5 Turbo and ChatGPT-4o Mini

Filipe Prazeres

JMIR Med Educ 2025;11:e65108

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Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study

Kwanho Kim, Soojong Kim

J Med Internet Res 2025;27:e63631

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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Yukiko Ohno, Tohru Aomori, Tomohiro Nishiyama, Riri Kato, Reina Fujiki, Haruki Ishikawa, Keisuke Kiyomiya, Minae Isawa, Mayumi Mochizuki, Eiji Aramaki, Hisakazu Ohtani

JMIR Med Inform 2025;13:e68863

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Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

JMIR Aging 2025;8:e65221

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