AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study

1. 1Develop guideline-grounded LLM agents for AD diagnosis
2. 2Conduct multi-cohort assessment to evaluate performance across diverse patient populations
3. 3Perform fairness analysis to identify and mitigate biases in diagnosis
4. 4Conduct reader studies to evaluate the effectiveness of LLM agents in real-world clinical settings

Data scientists and AI engineers on a healthcare team can benefit from AD-CARE's capabilities to improve diagnosis accuracy and fairness, while clinicians can use it to support their diagnostic decisions

💡 LLM agents can improve AD diagnosis accuracy and fairness in real-world clinical settings with multimodal data

💡 AD-CARE: LLM agent for Alzheimer's disease diagnosis with fairness analysis & reader study