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Home Scientific Sessions Ethical, Legal and Regulatory Challenges in Healthcare AI
Ethical, Legal and Regulatory Challenges in Healthcare AI

Artificial Intelligence (AI) is rapidly transforming healthcare through advanced diagnostics, predictive analytics, personalized medicine, and clinical decision support systems. However, the widespread adoption of AI in healthcare also raises significant ethical, legal, and regulatory concerns. Ensuring patient safety, data privacy, transparency, accountability, and equitable access to AI-driven healthcare solutions is essential for building trust and achieving responsible innovation.

This session explores the challenges and opportunities associated with governing AI technologies in healthcare while balancing innovation with patient rights, regulatory compliance, and ethical responsibility.

Key Topics

  • Ethical AI and Responsible Innovation in Healthcare
  • Patient Privacy, Data Protection, and Cybersecurity
  • AI Bias, Fairness, and Health Equity
  • Transparency, Explainability, and Trustworthy AI
  • Informed Consent in AI-Driven Healthcare
  • Accountability and Liability for AI-Based Decisions

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