Medical accuracy of artificial intelligence chatbots in oncology: a scoping review.

ABSTRACT:

Background

Recent advances in large language models (LLM) have enabled human-like qualities of natural language competency. Applied to oncology, LLMs have been proposed to serve as an information resource and interpret vast amounts of data as a clinical decision-support tool to improve clinical outcomes.

Objective

This review aims to describe the current status of medical accuracy of oncology-related LLM applications and research trends for further areas of investigation.

Methods

A scoping literature search was conducted on Ovid Medline for peer-reviewed studies published since 2000. We included primary research studies that evaluated the medical accuracy of a large language model applied in oncology settings. Study characteristics and primary outcomes of included stu

SUBMITTER: Chen D 

PROVIDER: S-EPMC12032582 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature