Treatment and Diagnosis over Patient Objection with Dr. Holland Kaplan

In this episode, Tyler and Devan talk with Ray Moseley and Marcia Brown, both from the University of Florida School of Medicine. Ray and Marcia talk about their pilot project that looked at how accurately an AI tool can predict the medical decisions of a patient, compared with a family member or surrogate. The outcomes are surprising.

In this episode Drs. Kostick-Quenet and Blumenthal-Barby discuss their research on LVADs and AI and their thoughts on how to use AI in clinical ethics.

In this episode we talk with Dr. Benjamin Collins about combating bias in AI.

In this episode, focused on the utilization of AI and Machine Learning in healthcare, Tyler and Devan talk to Teresa Fair-Field, OTD, OTR, who is part of an NIH-funded team developing "Emma Baby," a smartphone application designed to detect critical motor markers in infants during their first year. Read More Here:Fair-Field, T., & Modayur, B. (2025). Clinical validation of an abridged AIMS: Streamlining motor screening in the first-year infant. Early Human Development, 202, Article 106207. https://doi.org/10.1016/j.earlhumdev.2025.106207Fair-Field, T., & Modayur, B. (2025). Clinical validation of an abridged AIMS: Streamlining motor screening in the first-year infant. Early Human Development, 202, Article 106207. https://doi.org/10.1016/j.earlhumdev.2025.106207

In this episode we interview Dr. Lukas J. Meier about an algorithm he helped develop to help solve clinical ethics dilemmas.

In this episode we talk with Dr. Jeffrey P. Bishop about how AI will shape our minds and habits and how we need to rethink medical training in light of the promises and perils of AI in health care.

In this episode, we chat with Drs. Ami Palmer and David Schwan to discuss the wild west of mental health and wellness apps using AI.

In this episode Devan and Tyler discuss the most common ethical concerns raised in the field of AI and clinical care.

In this episode Devan and Tyler discuss the current uses of AI in clinical medicine.