The intended purpose of machine learning (ML) in cardiovascular medicine is to help guide clinical diagnoses as well as promote scientific discovery. Whether ML is implemented by most clinical cardiologists and cardiovascular researchers will likely depend on the successful resolution of concerns fueling hesitancy to embrace ML. This commentary discusses caveats related to ML in clinical practice, and offers suggestions for stakeholders on how to bridge knowledge gaps and clinicians’ misgivings to bring this powerful approach to the clinic to improve care of the patients we serve.
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Pattarabanjird, T., McNamara, C. The clinicians’ perspectives on machine learning. Nat Cardiovasc Res (2022). https://ift.tt/nqbiu7G
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DOI: https://ift.tt/nqbiu7G
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