This paper is in the following e-collection/theme issue:

Digital Health Reviews (1723) Clinical Informatics (1325) Electronic Health Records (1319) Natural Language Processing (917) Artificial Intelligence (2122) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (707)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68998, first published .
Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Authors of this article:

Lydie Bednarczyk1 Author Orcid Image ;   Daniel Reichenpfader2, 3 Author Orcid Image ;   Christophe Gaudet-Blavignac1 Author Orcid Image ;   Amon Kenna Ette1, 3 Author Orcid Image ;   Jamil Zaghir1, 3 Author Orcid Image ;   Yuanyuan Zheng1, 3 Author Orcid Image ;   Adel Bensahla1, 3 Author Orcid Image ;   Mina Bjelogrlic1, 3 Author Orcid Image ;   Christian Lovis1, 3 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

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  3. Alkarmouty M, Ooka J, Yamashita F. Harnessing large language models for structured extraction of cytochrome P450–substance interactions from biomedical texts. International Journal of Pharmaceutics 2025;684:126111 View
  4. Hairston J, Ranjan R, Lakamana S, Spadaro A, Bozkurt S, Perrone J, Sarker A. Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data. JAMIA Open 2025;8(5) View
  5. Shapiro J, Atlas M, Baum S, Pavlotsky F, Barzilai A, Gershon R, Gleicher R, Cohen I. One Step Closer to Conversational Medical Records: ChatGPT Parses Psoriasis Treatments from EMRs. Journal of Clinical Medicine 2025;14(21):7845 View
  6. Vasilev Y, Vladzymyrskyy A, Omelyanskaya O, Alymova Y, Akhmedzyanova D, Shumskaya Y, Kodenko M, Blokhin I, Reshetnikov R. Development and Validation of a Questionnaire to Evaluate AI-Generated Summaries for Radiologists: ELEGANCE (Expert-Led Evaluation of Generative AI Competence and ExcelleNCE). AI 2025;6(11):287 View
  7. Davenport M, Hall R, Kappala S, Michelson T, Mitchell R, Winski D, Hau C, Leatherman S, Meng F. Estimating the Utility of Using Structured and Unstructured Data for Extracting Incidents of External Hospitalizations from Patient Documents. Information 2025;16(11):978 View
  8. Hasani E, Richter S, Juratli T, Buszello C, Prem M, Willkommen S, Sandi-Gahun S, Eyüpoglu I, Polanski W. Layperson-Friendly AI Translation of Medical Documents to Improve Doctor–Patient Communication: Protocols for the AI-INFOCARE and AI-MEDTALK Randomized Controlled Trials. JMIR Research Protocols 2025;14:e77204 View
  9. Kim H, Lee S, You S, Huh S, Kim J, Kim S, Ko D, Kim J, Lee J, Lim J, Park M, Lee K. A Bilingual On-Premises AI Agent for Clinical Drafting: Implementation Report of Seamless Electronic Health Records Integration in the Y-KNOT Project. JMIR Medical Informatics 2025;13:e76848 View