ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (On-demand) | May 2023-Healthcare AI Ethical Considerations for Personalized Care

Video Transcription

Video Summary

In this video, Dr. Michael Abramoff, a retina specialist and computer scientist, discusses the ethical considerations of using AI in healthcare, specifically in relation to personalized care. He explains the difference between assistive AI and autonomous AI, highlighting their respective benefits and challenges. Dr. Abramoff focuses on the potential of autonomous AI to address healthcare disparities, particularly in access to care for minorities and rural communities. He provides examples of how autonomous AI can improve outcomes and efficiency in healthcare, specifically in the field of ophthalmology. However, he acknowledges the concerns and questions surrounding the use of autonomous AI, such as patient benefit, biases, liability, and data ownership. To address these concerns, Dr. Abramoff emphasizes the importance of ethical frameworks, stakeholder acceptance, and multi-disciplinary collaboration. He shares his experiences working with regulatory bodies like the FDA and highlights the need to evaluate AI systems as part of a larger healthcare process. Dr. Abramoff also discusses the development of reimbursement frameworks for AI in healthcare and the importance of measuring patient outcomes. He concludes by advocating for transparency, openness, and continuous monitoring of AI systems to ensure their effectiveness and to prevent potential backlash. Overall, Dr. Abramoff provides insights into the ethical and regulatory aspects of using AI in healthcare and emphasizes the need for careful consideration and collaboration in implementing these technologies to improve patient care.

Asset Subtitle

Michael Abramoff, MD

Keywords

AI in healthcare

ethical considerations

personalized care

autonomous AI

healthcare disparities

improve outcomes

transparency