Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit | August 2022-Ethical Considerations Recorded Presentation

Video Transcription

Video Summary

In this video, Dr. Michael Abramoff, a retina specialist and executive chairman of Digital Diagnostics, discusses the use of autonomous artificial intelligence (AI) in healthcare. He begins by explaining the difference between autonomous AI and assistive AI, where autonomous AI makes medical decisions without human oversight, while assistive AI aids clinicians in decision-making. Dr. Abramoff then discusses the potential of autonomous AI to address healthcare challenges, including health disparities, lack of access to care, and workforce shortages. He presents data showing the distribution of ophthalmologists and eye care needs in the US, highlighting disparities. Dr. Abramoff also discusses the barriers to healthcare AI, including limited high-quality data, rare diseases, and challenges in data collection. He then explains how autonomous AI can be used to improve diabetic eye exams and address health disparities in this area. Dr. Abramoff emphasizes the importance of ethics and transparency in developing and implementing AI in healthcare. He discusses regulatory frameworks, reimbursement considerations, and the need for stakeholder acceptance. He also highlights the importance of evaluating AI as part of a larger healthcare system and addressing concerns such as bias and data traceability. Dr. Abramoff shares examples of how healthcare AI has improved patient outcomes and discusses the potential risks and backlash if AI is not developed and implemented carefully. He concludes by emphasizing the importance of patient-centered outcomes and the need for collaboration among stakeholders to ensure the responsible and beneficial use of AI in healthcare.

Asset Subtitle

Michael Abramoff, MD
Olivia Niederhauser, MD

Keywords

autonomous AI

healthcare

artificial intelligence

health disparities

diabetic eye exams

ethics