A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
EdWorld
community
AI & ML interests
Medical AI, Natural Language Processing, Persona Agents, User Simulation
Recent Activity
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset (CVPR 2026)
A collection of Korean medical QA benchmarks based on the Korean Medical Licensing Examination, including both text-only and multimodal subsets.
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sean0042/KorMedMCQA
Viewer • Updated • 7.49k • 743 • 35 -
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
Paper • 2403.01469 • Published -
seongsubae/KorMedMCQA-V
Viewer • Updated • 1.84k • 157 • 6 -
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
Paper • 2602.13650 • Published
A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Try interactive demos and help improve the model by providing human feedback or annotations.
Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset (CVPR 2026)
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records (CHIL 2025)
A collection of Korean medical QA benchmarks based on the Korean Medical Licensing Examination, including both text-only and multimodal subsets.
-
sean0042/KorMedMCQA
Viewer • Updated • 7.49k • 743 • 35 -
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
Paper • 2403.01469 • Published -
seongsubae/KorMedMCQA-V
Viewer • Updated • 1.84k • 157 • 6 -
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
Paper • 2602.13650 • Published