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

AI Language Models in Health Care (61) Clinical Informatics (1050) Advanced Data Analytics in eHealth (142) Big Data (245) Case Study (26) Electronic Health Records (1068) Machine Learning (1501) Natural Language Processing (706) New Technologies (81) Open Source Software (5)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59617, first published .
Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Authors of this article:

Felix Heilmeyer1 Author Orcid Image ;   Daniel Böhringer2 Author Orcid Image ;   Thomas Reinhard2 Author Orcid Image ;   Sebastian Arens2 Author Orcid Image ;   Lisa Lyssenko1 Author Orcid Image ;   Christian Haverkamp1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Lammert J, Tschochohei M, Jansen H, Mathes S, Schatz U, Bronger H, Boeker M, Kiechle M. KI-gestützte klinische Entscheidungsunterstützungssysteme in der (gynäkologischen) Präzisionsonkologie. Die Gynäkologie 2024;57(12):793 View
  2. Bublak R. Der Witz der KI. Gastro-News 2024;11(6):78 View