Summary In this conversation, Arnon discusses the ethical concerns surrounding AI in healthcare, including privacy and data protection, explainability and liability, and the balance between regulations and innovation. He also explores the role of clinicians in the adoption of AI, the importance of informed consent and patient education, and the need for multidisciplinary discussions to navigate the ethical challenges. Arnon envisions the widespread adoption of personalized medicine integrated with telemedicine as the most significant change in healthcare as a result of AI in the next decade. Takeaways Privacy and data protection are paramount in AI healthcare, and regulations like HIPAA and GDPR need to be adaptable to the evolving AI landscape. Explainability and liability are crucial in building trust and ensuring that AI is used as a tool to enhance human decision-making, not replace it. Clinicians play a vital role in ensuring the ethical use of AI in medicine and should engage in multidisciplinary discussions with AI experts, ethicists, and legal professionals. Patient education and informed consent are essential to empower patients and ensure they have a say in how their data is handled. The future of healthcare will likely involve the widespread adoption of personalized medicine integrated with telemedicine, breaking down geographic and economic barriers to high-quality care. Chapters 00:00 Introduction and Background 03:01 Ethical Concerns in Healthcare AI 06:04 Privacy and Data Protection 07:25 Explainability and Liability 08:28 Balancing Regulations and Innovation 10:40 Using Synthetic Data 11:58 Addressing Bias in Healthcare AI 19:21 The Role of Clinicians in AI Healthcare 25:03 Informed Consent and Patient Education 30:18 Educating Healthcare Institutions and Regulatory Bodies 31:44 The Evolving Role of Clinicians 35:37 Regulations and the Future of Healthcare AI 40:05The Future of Personalized Medicine and Telemedicine