Leveraging Large Language Models for Decision Support in Personalized Oncology.

ABSTRACT:

Importance

Clinical interpretation of complex biomarkers for precision oncology currently requires manual investigations of previous studies and databases. Conversational large language models (LLMs) might be beneficial as automated tools for assisting clinical decision-making.

Objective

To assess performance and define their role using 4 recent LLMs as support tools for precision oncology.

Design, setting, and participants

This diagnostic study examined 10 fictional cases of patients with advanced cancer with genetic alterations. Each case was submitted to 4 different LLMs (ChatGPT, Galactica, Perplexity, and BioMedLM) and 1 expert physician to identify personalized treatment options in 2023. Treatment options were masked and presented to a molecular tumor board (MTB

SUBMITTER: Benary M 

PROVIDER: S-EPMC10656647 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature