Letter: Shifting focus—From <scp>ChatGPT</scp> to specialised medical <scp>LLMs</scp>: Authors' reply-Reference-Cited by-同舟云学术

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Letter: Shifting focus—From ChatGPT to specialised medical LLMs: Authors' reply

Published:2024-06-17 Issue:3 Volume:60 Page:417-418
ISSN:0269-2813
Container-title:Alimentary Pharmacology & Therapeutics
language:en
Short-container-title:Aliment Pharmacol Ther

Author:

Giuffrè Mauro¹,Kresevic Simone²,You Kisung³,Dupont Johannes¹,Huebner Jack²,Grimshaw Alyssa Ann⁴,Shung Dennis Legen¹^ORCID

Affiliation:

1. Department of Internal Medicine (Digestive Diseases) Yale School of Medicine New Haven Connecticut USA

2. Department of Internal Medicine Yale School of Medicine New Haven Connecticut USA

3. Department of Mathematics at Baruch College City University of New York New York New York USA

4. Harvey Cushing/John Hay Whitney Medical Library Yale University New Haven Connecticut USA

Abstract

LINKED CONTENTThis article is linked to Giuffrè et al papers. To view these articles, visit https://doi.org/10.1111/apt.18058 and https://doi.org/10.1111/apt.18121.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/apt.18125

Reference9 articles.

1. Letter: shifting focus—from ChatGPT to specialized medical LLMs;Wang S;Aliment Pharmacol Ther,2024

2. Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

3. Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes

4. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy

5. Systematic review: The use of large language models as medical chatbots in digestive diseases

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