#208 AI vs. Human with Post-Op AFib: Bread & Butter Series

#208 AI vs. Human with Post-Op AFib: Bread & Butter Series

From Core IM | Internal Medicine Podcast by Core IM Team

May 27, 2026 · 29 min

About this episode

This episode discusses the role of AI in managing post-op atrial fibrillation and the importance of human judgment in medical care.

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. 🔹 Sponsor: Search “Amazon Pharmacy Nationwide Home Delivery" in your EHR to get home delivery (often same-day). Learn more here . 🔹 Transcript and Shownotes : 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 Find the best disability insurance for you: https://www.patternlife.com/disability-insurance?campid=497840 Our Sponsors: * Check out Branch Basics and use my code…

People in this episode

Host: Core IM Team

Topics covered

  • AI in medicine
  • post-op atrial fibrillation
  • clinical judgment
  • medical decision-making
  • algorithms in healthcare

Keywords

  • AI
  • atrial fibrillation
  • post-op care
  • clinical context
  • medical algorithms
  • decision-making
  • healthcare

Sponsors

Amazon Pharmacy, Branch Basics, FIGS, Quince

Mentioned in this episode

Organizations: CoreIM, Internal Medicine, Medical Education, Atrial Fibrillation, Cardiology, Open Evidence

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