Dr. Shay Taylor-Allen joins Dr. Michael Jerkins for a deeply personal and inspiring conversation about her extraordinary path through medicine—one that began not in a classroom or clinic, but cleaning the halls of Yale New Haven Hospital, the very institution where she was born and would one day match into her dream anesthesia residency.

Dr. Allen opens up about the experiences that drew her to medicine: watching her mother navigate healthcare disparities and gaining a ground-level view of hospital life that most physicians never see. That perspective, she argues, is not a liability but a gift—one that cultivated a depth of empathy and human connection that now defines her approach to patient care.

The episode also takes on the harder questions facing medicine today: How do you stay grounded in your purpose when the financial reality of medical training is overwhelming? Is social media a legitimate tool for mentorship and representation? And what does it really take to build a culture where janitors and attendings see themselves as part of the same team?

Throughout the episode, one truth anchors every chapter of her journey: where you start does not determine where you can go. Resilience, community, and a commitment to genuine human connection are what carry you forward.

Dr. Raj Dasgupta and Dr. Ted O’Connell join Dr. Michael Jerkins for a wide-ranging conversation on how medical education must evolve in an era shaped by artificial intelligence, shifting exam structures, and changing patient expectations.

From AI-powered learning tools to real-time evidence appraisal, the discussion explores how today’s trainees access information and how educators must adapt without compromising clinical reasoning. Dr. Dasgupta and Dr. O’Connell unpack the opportunities AI presents in both education and practice, while emphasizing the importance of teaching humility, source verification, and critical thinking in a world of instant answers.

The episode also tackles system-level questions: Has making USMLE Step 1 pass/fail helped or hurt? Do duty-hour restrictions produce better-trained physicians? And are we giving learners enough early, hands-on patient care in an increasingly team-based healthcare model?

Amid debates about automation and exam design, one theme remains constant: the human element of medicine is irreplaceable. Empathy, bedside presence, and the ability to make a patient feel seen cannot be outsourced to technology.

Internal medicine resident and AI healthcare researcher Dr. Peter Brodeur joins Dr. Michael Jerkins for a grounded, practical conversation on how artificial intelligence is actually showing up in medicine today and where it’s headed next. From AI scribes and automated workflows to clinical decision support, Dr. Brodeur breaks down what’s delivering real value versus what’s still more promise than payoff.

The discussion explores AI’s impact on physician burnout, workflow efficiency, and patient engagement, while unpacking critical concerns around safety, liability, automation bias, and the risk of deskilling clinicians. Dr. Brodeur also shares insights from recent research on where AI performs best, why “human-in-the-loop” systems matter, and how medical education may evolve alongside these tools.

Can AI truly improve care without compromising clinical judgment? And how should doctors think about adopting new technology without losing the human side of medicine?

Dr. Brodeur closes with a look at what responsible AI integration could mean for the future of healthcare and why cautious optimism, not blind adoption, is the path forward.