Clinical Reasoning in the AI Era: Can Artificial Intelligence Think Like a Doctor?

How do expert clinicians actually think? Why do diagnostic errors happen? And can artificial intelligence improve clinical reasoning without replacing physicians? In this episode of The Lebanese Physicians Podcast, I sit down with Dr. Raja-Elie Abdulnour, Pulmonary and Critical Care Physician at the Brigham and Women's Hospital and Editor-in-Chief of NEJM Clinician and Chief Clinical Innovation Officer NEJM Group , to explore the evolving relationship between clinical reasoning and AI. We discuss how physicians develop diagnostic expertise, the cognitive biases behind medical errors, the rise of AI-powered clinical decision support tools, the future of augmented intelligence in healthcare, and why human judgment, communication, and trust remain essential in medicine. Whether you're a medical student, resident, practicing clinician, or simply curious about the future of healthcare, this conversation offers valuable insights into how AI may transform the way we diagnose, learn, and care for patients. Topics Covered: How expert clinicians think System 1 vs. System 2 reasoning Diagnostic errors and cognitive biases AI performance in clinical diagnosis ChatGPT and medical decision-making AI scribes and workflow efficiency Augmented intelligence in healthcare The future of physician-AI collaboration Preserving clinical skills in the AI era #ClinicalReasoning #ArtificialIntelligence #AIinMedicine #MedicalEducation #HealthcareInnovation #ChatGPT #NEJM #MedicalAI #DiagnosticReasoning #AugmentedIntelligence #PhysicianLeadership #DigitalHealth #PulmonaryCriticalCare #TheLebanesePhysiciansPodcast #MedicineFuture On YouTube @thelebanesephysicianspodcast @nejmgroup