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.

Dr. Jennifer Blumenthal-Barby and Dr. Kristin Kostick-Quenet

Read More Here:

• Goodman KE, Blumenthal-Barby J, Redberg RF "FAIRS - A Framework for Evaluating the Inclusion of Sex in Clinical Algorithms." N Engl J Med. 2025 Jan 8;Online ahead of print Pubmed PMID: 39778166

• Hurley ME, Lang BH, Kostick-Quenet KM, Smith JN, Blumenthal-Barby J "Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care." Am J Bioeth. 2024 Sep 17;Online ahead of print:1-13. Pubmed PMID: 39288291

• Kostick-Quenet, K and Rahimzadeh, V "Ethical hazards of health data governance in the metaverse." Nature machine intelligence. 2023 May;5(5):1-3. Pubmed PMID: 37334182

• Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J., McGuire, A. "Ethics Education for Healthcare Professionals in the Era of chatGPT and Other Large Language Models: Do We Still Need It?." Am J Bioeth. 2023 Jul 24;1-11. Pubmed PMID: 37487184

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

Read More from Dr. Collins Here:

• Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process

• Role and Use of Race in AI/ML Models Related to Health

• Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine

• A Call to Partner With Communities To Hear Diverse Sociocultural Perspectives on Artificial Intelligence in Healthcare

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.2025.106207

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.2025.106207

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

Check out his team’s paper on this project here

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.

Stay tuned for a link to an article on this topic written by Drs. Palmer and Schwan in May 2025 in the Hastings Center Report.

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.