Artificial intelligence (AI) and machine learning (ML) have transformed our lives. The adoption of AI in medicine has perhaps lagged its adoption in other areas, and machine learning in healthcare has had mixed results.

In this episode, Drs. Muhammad Mamdani and Amol Verma discuss a series of three CMAJ articles on the development, use, misuse, and evaluation of machine-learned models in medicine.

Dr. Muhammad Mamdani is vice-president of data science and advanced analytics at Unity Health Toronto, director of the Temerty Center for Artificial Intelligence Education and Research in Medicine, and professor at the University of Toronto. Dr. Amol Verma is a physician and scientist at St. Michael's Hospital and the University of Toronto, an AMS healthcare fellow in compassion and artificial intelligence and a provincial clinical lead in health quality improvement with Ontario Health.

They are both two of the authors of the articles series published in CMAJ:

Implementing machine learning in medicine
https://www.cmaj.ca/lookup/doi/10.1503/cmaj.202434

Problems in the deployment of machine-learned models in health care
https://www.cmaj.ca/lookup/doi/10.1503/cmaj.202066

Evaluation of machine learning solutions in medicine
https://www.cmaj.ca/lookup/doi/10.1503/cmaj.210036

Podcast transcript: https://www.cmaj.ca/transcript-202434

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