Diagnostic Accuracy of a Custom Large Language Model on Rare Pediatric Disease Case Reports.

Abstract excerpt

Accurately diagnosing rare pediatric diseases frequently represent a clinical challenge due to their complex and unusual clinical presentations. Here, we explore the capabilities of three large language models (LLMs), GPT-4, Gemini Pro, and a custom-built LLM (GPT-4 integrated with the Human Phenotype Ontology [GPT-4 HPO]), by evaluating their diagnostic performance on 61 rare pediatric disease case reports. The...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Child
• Share to GPT gene
• Share to Genomics and Rare Diseases