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洞見 - Medical Error Detection and Correction
Optimized LLM-based Programs for Detecting and Correcting Medical Errors in Clinical Notes
Our approach achieved top performance across all three subtasks of the MEDIQA-CORR 2024 shared task, demonstrating the effectiveness of LLM-based programs in detecting, localizing, and correcting medical errors in clinical text.
Leveraging Medical Agents and Retrieval-Augmented Generation to Tackle Medical Error Detection and Correction
This paper presents a multi-agent framework called MedReAct'N'MedReFlex that leverages large language models and retrieval-augmented generation to tackle the task of medical error detection and correction in clinical notes.
