3 papers
cs.AI2026
Teaching agentic AI to learn expert reasoning for rare disease diagnosis
Minh-Ha Nguyen, Erica Gray, Bryce A. Schuler +17
Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer; off-the-shelf large language models (LLMs) rank the correct disease first in only 35.4%…
cs.CL2026
MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences
Eric Wu, Kevin Wu, Jason Hom +11
Large language models (LLMs) are increasingly central to clinician workflows, spanning clinical decision support, medical education, and patient communication. However, current eva…
cs.AI2026
An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
Cathy Shyr, Yan Hu, Rory J. Tinker +8
Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes from clinical notes is labor-intensive and difficult to scale. Existing artificia…