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Applications of AI (949) Clinical Informatics (2253) Clinical Information and Decision Making (3684) Information Retrieval (488) Artificial Intelligence (4744) Data Science (701)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82607, first published .
Doctor typing on laptop displaying medical history form

Assessment of the Modified Rankin Scale in Electronic Health Records With a Fine-Tuned Large Language Model: Development and Internal Validation

Assessment of the Modified Rankin Scale in Electronic Health Records With a Fine-Tuned Large Language Model: Development and Internal Validation

Authors of this article:

Luis Silva1, 2 Author Orcid Image ;   Marcus Milani2 Author Orcid Image ;   Sohum Bindra2 Author Orcid Image ;   Salman Ikramuddin2 Author Orcid Image ;   Megan Tessmer2 ;   Kaylee Frederickson1 Author Orcid Image ;   Abhigyan Datta1 Author Orcid Image ;   Halil Ergen2, 3 Author Orcid Image ;   Alex Stangebye2, 4 Author Orcid Image ;   Dawson Cooper2 Author Orcid Image ;   Kompal Kumar2 ;   Jeremy Yeung2 ;   Kamakshi Lakshminarayan2 Author Orcid Image ;   Christopher Streib2
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Journals

  1. Bornet A, Sandralegar A, Yazdani A, Benguettat E, Righini M, Ravarelli F, Constanthin P, Lavé A, Haemmerli J, Janssen I, Issa J, Qaderdan E, Godin E, Bouhalassa N, Schaller K, Bijlenga P, Teodoro D. Human-Level Extraction of Modified Rankin Scale Scores from Real-World Neurosurgical Clinical Notes Using a Locally Deployed, Quantized Large Language Model. Machine Learning and Knowledge Extraction 2026;8(8):248 View