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

Generative Language Models Including ChatGPT (320) Tools, Programs and Algorithms (272) Natural Language Processing (704) AI Language Models in Health Care (59) Natural Language Processing (24) Language Processing, Classifiers, and Syndrome Definitions (44) Clinical Informatics (1045)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60601, first published .
Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Authors of this article:

Rui Yang1 Author Orcid Image ;   Qingcheng Zeng2 Author Orcid Image ;   Keen You3 Author Orcid Image ;   Yujie Qiao4 Author Orcid Image ;   Lucas Huang3 Author Orcid Image ;   Chia-Chun Hsieh3 Author Orcid Image ;   Benjamin Rosand3 Author Orcid Image ;   Jeremy Goldwasser3 Author Orcid Image ;   Amisha Dave5 Author Orcid Image ;   Tiarnan Keenan6 Author Orcid Image ;   Yuhe Ke7 Author Orcid Image ;   Chuan Hong8 Author Orcid Image ;   Nan Liu1, 9, 10 Author Orcid Image ;   Emily Chew6 Author Orcid Image ;   Dragomir Radev3 Author Orcid Image ;   Zhiyong Lu11 Author Orcid Image ;   Hua Xu12 Author Orcid Image ;   Qingyu Chen12 Author Orcid Image ;   Irene Li13, 14 Author Orcid Image
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Journals

  1. Ke Y, Yang R, Lie S, Lim T, Ning Y, Li I, Abdullah H, Ting D, Liu N. Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language Models: Simulation Study. Journal of Medical Internet Research 2024;26:e59439 View