AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning

Understand

Clinical calculators play a vital role in healthcare by offering accurate evidence-based predictions for various purposes such as prognosis.

• Nevertheless, their widespread utilization is frequently hindered by usability challenges, poor dissemination, and restricted functionality.
• Augmenting large language models with extensive collections of clinical calculators presents an opportunity to overcome these obstacles and improve workflow efficiency, but the scalability of the manual curation process poses a significant challenge.
• In response, we introduce AgentMD, a novel language agent capable of curating and applying clinical calculators across various clinical contexts.