Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis.

ABSTRACT:

Background

The integration of large language models (LLMs) into medical diagnostics has garnered substantial attention due to their potential to enhance diagnostic accuracy, streamline clinical workflows, and address health care disparities. However, the rapid evolution of LLM research necessitates a comprehensive synthesis of their applications, challenges, and future directions.

Objective

This scoping review aimed to provide an overview of the current state of research regarding the use of LLMs in medical diagnostics. The study sought to answer four primary subquestions, as follows: (1) Which LLMs are commonly used? (2) How are LLMs assessed in diagnosis? (3) What is the current performance of LLMs in diagnosing diseases? (4) Which medical domains are investigating the app

SUBMITTER: Su H 

PROVIDER: S-EPMC12186007 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature