Can AI manage post-op atrial fibrillation or does medicine still require human judgment? Using post-op AFib as a case study, we explore where algorithms help, where evidence falls short, and why clinical context still matters. When evidence is incomplete, and every patient is different, can AI truly practice medicine or only assist the clinicians who do? This episode explores the space between algorithms, uncertainty, and human judgment in modern medical care.
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02:51 | Broad workup for reversible causes and other etiologies of AFib that may occur post-op
05:10 | Considerations for management of post-op atrial fibrillation
13:00 | Stroke risk in atrial fibrillation
20:49 | Outpatient management of atrial fibrillation
25:54 | The role of AI in medical decision-making
Tags: CoreIM, Internal Medicine, Medical Education, Atrial Fibrillation, Cardiology, Open Evidence
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