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Generative Language Models Including ChatGPT (1533) Clinical Information and Decision Making (3726) Natural Language Processing (1292) Big Data (439) Machine Learning (3191)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95780, first published .
Pathologist reviews clinical data extraction software on laptop, with lab equipment in background.

A Secure, Scalable Large Language Model–Based System (CIDER) for High-Throughput Clinical Data Extraction From Medical Reports: Retrospective Validation Study

A Secure, Scalable Large Language Model–Based System (CIDER) for High-Throughput Clinical Data Extraction From Medical Reports: Retrospective Validation Study

Authors of this article:

Máté Posta1, 2 Author Orcid Image ;   Aida Figler2 Author Orcid Image ;   Zsófia Dobolyi2 Author Orcid Image ;   Balázs Győrffy1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Máté Posta   1, 2 , MD ;   Aida Figler   2 , PhD ;   Zsófia Dobolyi   2 , MSc ;   Balázs Győrffy   1, 2, 3 , MD, Prof Dr

1 Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary

2 Department of Bioinformatics, Semmelweis University, Budapest, Hungary

3 Institute of Transdisciplinary Discoveries, Medical School, University of Pécs, Pécs, Hungary

Corresponding Author: