Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study.

ABSTRACT:

Background

Reading medical papers is a challenging and time-consuming task for doctors, especially when the papers are long and complex. A tool that can help doctors efficiently process and understand medical papers is needed.

Objective

This study aims to critically assess and compare the comprehension capabilities of large language models (LLMs) in accurately and efficiently understanding medical research papers using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist, which provides a standardized framework for evaluating key elements of observational study.

Methods

The study is a methodological type of research. The study aims to evaluate the understanding capabilities of new generative artificial intelligence tools in medic

SUBMITTER: Akyon SH 

PROVIDER: S-EPMC11411230 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature