The use of machine learning (ML) in the medical device field has greatly expanded in recent years, becoming increasingly important to the product offerings of many medical device companies. The benefits provided by ML are wide-ranging and include providing earlier and more accurate diagnoses by detecting patterns in clinical data associated with disease, improving surgical outcomes through preoperative and intraoperative surgical guidance, and enabling the development of personalized diagnostics and therapeutics.
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