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Video course · 12 chapters · 39 min · certificate

AI in Health Care - Promises and Concerns of Artificial Intelligence and Health by UC Davis Health

A UC Davis Health discussion on AI in health care: keeping clinicians in charge, personalisation, self-service care, regulation, human vs artificial intelligence, generative AI, challenges, equity, privacy-preserving machine learning, implicit bias and final takeaways.

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What you'll learn

  • Explain how health systems approach AI with clinicians in charge
  • Describe personalisation and self-service care
  • Discuss regulation of AI in health care
  • Weigh generative AI's benefits and challenges
  • Explain privacy-preserving ML
  • Recognise and reduce implicit bias

Chapters

12 chapters · 39:14
  1. 1:00 01Intro Members Introductions Health care and AI.
  2. 1:30 02Approach Members Approach to AI in patient care Clinicians in charge.
  3. 2:14 03Personalisation Members Personalising health care Care tailored to you.
  4. 1:37 04Self-service Members Self-service health care Patients helping themselves.
  5. 4:38 05Regulation Members Regulating AI in health care Regulator concerns.
  6. 4:00 06Partnership Members Artificial and human intelligence Shared responsibility.
  7. 7:34 07GenAI Members Generative AI's role Patterns and attention.
  8. 3:45 08Challenges Members Issues and challenges The risks.
  9. 6:12 09Equity Members Improving care and equity Using what exists.
  10. 3:22 10Privacy Members Privacy-preserving machine learning Federal push.
  11. 2:21 11Bias Members AI and implicit bias Populations and individuals.
  12. 1:01 12Takeaways Members Final thoughts One takeaway.