AI Identifies Severe Symptoms in Childhood Survivors

St. Jude Children's Research Hospital researchers report in Communications Medicine that large language models (ChatGPT and Llama) can analyze interviews from 30 childhood cancer survivors (ages 8–17) and caregivers, producing over 800 analyzable items to detect symptom severity. The study found complex prompts—chain-of-thought and generated-knowledge—outperformed zero- and few-shot prompts, suggesting richer prompting may aid clinical workflows.