I’m excited to share a new collaborative study I had the privilege of co-authoring, which was recently published in Nutrients. Led by Jefferson medical student Julia Logan, this work explores how large language models (LLMs) like ChatGPT and Gemini can deliver accessible, culturally sensitive dietary advice to cancer patients—many of whom lack access to professional nutritional counseling due to insurance limitations or socioeconomic barriers.
Working alongside colleagues from the Department of Radiation Oncology at Jefferson, we investigated whether AI tools could generate meal plans tailored to variables like location, budget, and cultural dietary preferences. While LLMs aren’t perfect, they showed surprising promise—providing personalized grocery lists and meal suggestions that, in many cases, aligned closely with professional dietitian recommendations.
This project highlights how AI, guided by clinician oversight, can serve as a scalable tool to reduce healthcare disparities and support cancer patients in managing their health more effectively.
Qualia Radiomics 