ICU Files

About / Description The ICU Files is an AI-assisted podcast designed for critical care physicians, fellows, and trainees who need high-yield education without the time overhead. Each episode draws on AI-generated content — reviewed for educational relevance and clinical accuracy — to deliver focused case discussions, board-relevant concepts, and practical frameworks that map to real ICU decision-making. Whether you're grinding through ABIM Critical Care board prep or looking to sharpen your clinical reasoning between shifts, The ICU Files meets you where you are: time-pressured, intellectually hungry, and already managing twelve things at once. Some episodes feature hypothetical patient cases constructed entirely by AI. These cases are designed to illustrate clinical concepts and board-relevant decision points, but because they are AI-generated, they may contain inaccuracies in presentation, physiology, or management. Treat them as a starting point for reasoning — not a gold standard. Always cross-reference what you hear with your training, the literature, and your own clinical judgment before drawing conclusions. A note on accuracy: AI is a powerful tool, and like any tool, it has failure modes. Content on this podcast is generated with AI assistance and reviewed before publication, but errors can and do slip through. Nothing you hear here replaces a thorough bedside assessment, current institutional guidelines, or your own clinical judgment. The ICU Files is a learning resource — not a protocol, not a consult, and not a substitute for the cognitive work that defines good critical care medicine. The owner and creator of this podcast bears no responsibility whatsoever for any clinical decisions made, actions taken, or outcomes that arise — directly or indirectly — from content heard on this show. Responsibility for patient care rests solely with the treating clinician. These are high-yield critical care cases and board prep for the intensivist who has twelve things open and no time. The ICU Files runs on AI — which means it moves fast, covers a lot of ground, and is occasionally wrong. Some episodes use hypothetical AI-generated patient cases to illustrate key concepts; these are educational constructs, not clinical references. Verify everything you hear against your own judgment and the current literature. The patient in the episode is not the patient in front of you — treat accordingly. All content is strictly for educational purposes only. The owner of this podcast accepts no responsibility for any clinical outcomes in the real world. Patient care decisions and their consequences remain solely yours to own. Lets continue the learning together.