In 1763, Bayes theorem (“An Essay Towards Solving a Problem in the Doctrine of Chances”), one of the most fundamental principles in probability theory, was published in Philosophical Transactions of the Royal Society.1 In a twist of fate, Thomas Bayes had died 2 years prior to the publication of his lasting legacy, which still resonates throughout modern clinical medicine. Bayes theorem is based on conditional probability, or the probability of an event occurring based on other conditions associated with the event in question.1 Today, bayesian philosophy and consideration of pretest probability remains embedded in the determination of best practices for clinical screening and risk stratification.
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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.
Corresponding Author: Jonathan H. Kim, MD, MSc, Division of Cardiology, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, 1462 Clifton Road NE, Ste 502, Atlanta, GA 30322 (email@example.com).
Published Online: January 14, 2021. doi:10.1001/jamacardio.2020.7463
Conflict of Interest Disclosures: Dr Kim discloses research funding for the study of competitive athletes from the National Institute of Health/National Heart, Lung, and Blood Institute. He receives compensation for his role as team cardiologist from the Atlanta Falcons and received research stipends from the Atlanta Track Club.
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It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.
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