A Multi-Agent LLM Framework for Personalized Health Checkup Interpretation and Guidance

cs.AI, cs.MA

Submitted: 2026-10-01

Updated: 2026-10-01

Comments: 16 pages, 2 figures, 8 tables and Appendix

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems