Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

Feb-15-2026, 20:41:24 GMT–Neural Information Processing Systems

However, developing effective foundation models for electronic health record (EHR) data in Emergency Medicine requires addressing several challenges.

artificial intelligence, machine learning, modality, (19 more...)

Neural Information Processing Systems

Feb-15-2026, 20:41:24 GMT

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Country:
- North America > United States
  - Alaska (0.04)
  - California > Santa Clara County
    - Palo Alto (0.04)

Genre:
- Research Report (0.69)

Industry:
- Health & Medicine
  - Diagnostic Medicine (1.00)
  - Health Care Providers & Services (1.00)
  - Health Care Technology > Medical Record (0.87)
  - Therapeutic Area
    - Cardiology/Vascular Diseases (0.93)
    - Immunology (0.67)
    - Infections and Infectious Diseases (0.67)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks > Deep Learning (0.46)
      - Performance Analysis > Accuracy (0.68)
    - Representation & Reasoning (0.93)
  - Data Science (0.93)

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Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

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