ChatGPT performs well on radiation oncology patient care questions

ChatGPT may be a valuable resource for radiation oncology patients, with responses to questions over care posing minimal risk of harm due to inaccuracies or biases, according to a study published April 2 in JAMA Network Open. Clinicians at Northwestern University in Chicago tested ChatGPT 3.5 on common care questions and found the chatbot generated responses comparable with those provided by human experts, albeit at a higher-than-recommended readability level, noted lead author Amulya Yalamanchili, MD, and colleagues. “Accordingly, these results suggest that the LLM has the potential to be used as an alternative to current online resources,” the group wrote. AI large language model (LLM) chatbots like ChatGPT have shown promise in answering medical test questions, simplifying radiology reports, and searching for cancer information, yet their ability to provide accurate, complete, and safe responses to radiation treatment questions remains unverified, highlighting a gap in current research, the authors explained. To that end, the group ran ChatGPT through a series of 115 questions based on Q&As from websites sponsored by RSNA and the American College of Radiology (RadiologyInfo.org), the American Society for Radiation Oncology (RTAnswers.org), the National Institutes of Health (Cancer.gov), and the American Society of Clinical Oncology (Cancer.net). Three radiation oncologists and three radiation physicists then ranked the LLM’s responses for relative factual corre...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Source Type: news