AI Implementation in Healthcare: Balancing Innovation, Patient Safety and Ethical Considerations

Thursday, May 08 at 3:00 pm - 4:00 pm

Email Stephanie.Chuc@ucsf.edu for registration link.

As AI continues to transform the healthcare landscape, it is essential to balance innovation with patient safety and ethical responsibility. This talk will introduce an example of using AI for chest pain patient risk stratification and explore the challenges and opportunities of integrating AI in healthcare, focusing on the importance of patient safety, the ethics of AI, and the limitations of emerging technologies. It will also address ethical guidelines and considerations that must be followed, along with practical strategies for the safe and responsible use of AI in healthcare. The aim is to provide a comprehensive understanding of how to implement AI in ways that benefit patients while maintaining safety and ethical integrity.

About Nan Liu, PhD

Dr. Nan Liu is the Director of the Duke-NUS AI + Medical Sciences Initiative (DAISI) and the Co-Director of the SingHealth Duke-NUS AI in Medicine Institute (AIMI). He is also an Associate Professor at the Centre for Quantitative Medicine and the Programme in Health Services and Systems Research at Duke-NUS Medical School. Currently, he leads the Digital Medicine Labexternal site (opens in a new window). His research focuses on ethical and trustworthy artificial intelligence with applications in healthcare and medicine. Dr. Liu has received research grants from the National Medical Research Council and the National Research Foundation. He was recognized as one of the world’s top 2% scientists by Stanford University and Elsevier. Dr. Liu has also served as an editor for many prestigious journals, including NPJ Digital Medicine and PLOS Medicine.