Evaluating the performance of AI-based large language models in radiation oncology
A new study evaluates an artificial intelligence (AI)-based algorithm for autocontouring prior to radiotherapy in head and neck cancer. Manual contouring to pinpoint the area of treatment requires significant time, and an AI algorithm to enable autocontouring has been introduced. The study is published in the peer-reviewed journal AI in Precision Oncology. Click here to read the article now.
Nikhil Thaker, from Capital Health and Bayta Systems, and coauthors, evaluated the performance of various LLMs, including OpenAI’s GPT-3.5-turbo, GPT-4, GPT-4-turbo, ...












