Look behind the lecture: realizing the potential of machine learning in clinical practice

Written by The Evidence Base
Artificial intelligence and machine learning Decision science Health technology assessment ISPOR Look behind the lecture Oncology and hematology Stakeholder engagement

In this feature, following his participation in a workshop at the International Society for Pharmacoeconomics and Outcomes Research’s 2020 Virtual Annual Meeting (18–20 May), Winson Cheung (Professor of Medicine at the University of Calgary, AB, Canada) discusses current barriers associated with the implementation of machine learning in clinical practice and how we may move forward to realize the full potential of these new technologies for improving patient care. Please could you introduce yourself and your organization? I am an oncologist by training and my clinical focus is in the management of gastrointestinal cancers. I am also the Director of Real-World...

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