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Course

Clinical Evaluation

From clinical research design and stakeholder duties to validating AI software in the clinic — usability, federated learning, real-world evaluation case studies.

  • 2 topics
  • 3h 15min
  • Target 3 hrs

Clinical Assessment

  1. Ethical and regulatory aspects of clinical research
    Isabelle BOUDRY · 8min 26s
  2. Clinical research stakeholders: roles and obligations
    Isabelle BOUDRY · 6min 52s
  3. Writing a clinical research protocol: the key requirements to submit a clinical investigation file in the MD field
    Maud BARBADO · 16min 04s
  4. Enhancing Security and Collaboration in Clinical Data Warehouses through Federated Learning
    Mohamed EL-AZZOUZI · 19min 01s
  5. Assessing medical service rendered and the benefit-risk balance
    Joris GIAI · 16min 00s
  6. Integrating patient preferences into data-driven clinical assessment
    Joris GIAI · 11min 29s
  7. Validation: AI for and in the clinic
    Magnus BOMAN · 26min 14s
  8. Consideration of usability and ergonomics in AI-based systems: the success story
    Marlene THIERS · 16min 26s
  9. ODIASP, an artificial intelligence tool for the diagnosis of sarcopenia via CT imaging
    Cécile BETRY · 14min 32s
  10. Data Quality & METRIC Framework
    Daniel SCHWABE · 20min 02s

Software AI

  1. Clinical Evaluation for Software AI — Part 1
    Joana REI · 21min 16s
  2. Clinical Evaluation for Software AI — Part 2
    Joana REI · 18min 46s

Check your knowledge

The debriefing quiz draws five questions at random from this course, one at a time, and explains each answer once you have picked. Unlimited attempts, and every attempt draws again. It is the study material for the final exam, which covers the whole programme.

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