A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool
PositiveArtificial Intelligence
A recent study has shown that using multiple large language model (LLM) agents can significantly enhance the assessment of a clinical AI triage tool designed for detecting intracranial hemorrhages. By analyzing nearly 30,000 CT head exams from various hospitals, researchers found that an ensemble of LLMs provided a more reliable evaluation compared to a single model. This advancement is crucial as it could lead to improved patient outcomes by ensuring more accurate diagnoses in emergency settings.
— Curated by the World Pulse Now AI Editorial System

