Exploring Capabilities of Large Language Models such as ChatGPT in Radiation Oncology.

ABSTRACT:

Purpose

Technological progress of machine learning and natural language processing has led to the development of large language models (LLMs), capable of producing well-formed text responses and providing natural language access to knowledge. Modern conversational LLMs such as ChatGPT have shown remarkable capabilities across a variety of fields, including medicine. These models may assess even highly specialized medical knowledge within specific disciplines, such as radiation therapy. We conducted an exploratory study to examine the capabilities of ChatGPT to answer questions in radiation therapy.

Methods and materials

A set of multiple-choice questions about clinical, physics, and biology general knowledge in radiation oncology as well as a set of open-ended questions were

SUBMITTER: Dennstadt F 

PROVIDER: S-EPMC10831180 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature