Hot Topics in Research Ethics: Bridging the Research-Therapy Divide in the Regulatory Governance of Artificial Intelligence as Medical Devices by Calvin Was Loon Ho, JSD
Join us for this online presentation by Calvin Wai Loon Ho, JSD, FRSPH, from the University of Hong Kong
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Artificial intelligence and machine learning (AI/ML) medical devices are able to optimise their performance by learning from past experience. In healthcare, such devices are already applied within controlled settings in image analysis systems to detect conditions like diabetic retinopathy, for instance. However, the development and application of these devices raise technical and social concerns, which have regulatory implications. If continuous risk-monitoring is required to support the use of AI/ML medical devices in a learning healthcare system, robust and responsive regulatory mechanisms are needed.
This programme is organised by the Master of Health Research Ethics (MOHRE) programme at Universiti Malaya (http://www.mohre.um.edu.my). It is supported by the Fogarty International Center of the United States, National Institutes of Health (Grant R25TW010891) in collaboration with the Berman Institute of Bioethics, Johns Hopkins University.