Instructors: Alfonso Rodríguez Cotes +1 more

What you'll learn

  •   Implement ethical frameworks for integrating generative AI in clinical settings.
  •   Mitigate bias risks in generative AI models used for medical decisions.
  •   Develop informed consent policies for the use of generative AI in patient care based on transparency and data privacy.
  • Skills you'll gain

  •   Generative AI
  •   Data Ethics
  •   Artificial Intelligence
  •   Patient Safety
  •   Health Care Procedure and Regulation
  •   Information Privacy
  •   Data Security
  •   Healthcare Ethics
  •   Medical Privacy
  •   Health Technology
  • There is 1 module in this course

    This course is ideal for healthcare professionals, AI developers, or anyone curious about the intersection of AI and medicine. No prior AI experience is necessary, but a basic understanding of healthcare processes or data privacy will enhance your learning experience. Learners should have foundational knowledge of healthcare and basic technological literacy. Familiarity with concepts like patient care or data ethics will be helpful but is not mandatory. By the end of this course, learners will be equipped with knowledge and tools to ethically integrate generative AI in healthcare settings. They will be able to identify and mitigate bias in AI models, ensuring fairness and accuracy in medical decision-making. Additionally, learners will develop strategies for creating transparent, patient-centered informed consent policies while ensuring compliance with data privacy regulations and healthcare standards. This will enable them to confidently apply AI solutions that prioritize patient safety and trust.

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