Reading the Future: Radiology, AI and the Hong Kong Healthcare System Perspectives from Clinical Practice
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Artificial intelligence is rapidly transforming radiology, creating new opportunities while raising important questions about its role in clinical care. This seminar examines the evolving impact of AI on radiology from a frontline clinical perspective, including the fundamental question of whether AI will replace doctors or redefine how medicine is practised.
Drawing on experience across Hong Kong’s public and private healthcare sectors, the presentation will explore the capabilities and limitations of current AI applications, their integration into clinical workflows, and key considerations for their adoption within Hong Kong’s healthcare system. It will also consider the implications of AI for medical education and the future healthcare workforce.
As AI becomes increasingly embedded in clinical practice, physicians must learn to harness its potential while maintaining clinical judgement, professional accountability and patient-centred care. The seminar aims to stimulate discussion on how clinicians and AI can work together responsibly to improve healthcare outcomes and shape future medical practice.
Consultant Radiologist
St. Paul’s Hospital, Hong Kong
Dr Eric Man is a Consultant Radiologist with over 15 years of post-fellowship experience across Hong Kong's public and private healthcare sectors. He has subspecialty training in Neuroradiology and Interventional Radiology, complemented by international clinical training and observerships in Zurich, Seoul and Toronto.
In addition to his clinical practice, Dr Man has held professional, ethics and training roles, including serving on the Ethics Committee of the Hong Kong East Cluster and as a former Council Member and Honorary Secretary of the Hong Kong Society of Interventional Radiology. A dedicated clinical educator, he has mentored medical students at The Chinese University of Hong Kong and remains committed to medical education and patient-centred care. His current professional interests include the responsible integration of artificial intelligence into radiology and clinical practice.
For enquiries, please contact Ms. TAM at 3469 2465.