Intelligent Machines + Medicine

In Episode 8, we welcome Dr. Alexander Ryu to the podcast. Dr. Ryu is a physician data-scientist in hospital internal medicine. In his practice, he cares for acutely ill, hospitalized patients with a variety of health conditions. Dr. Ryu also develops and studies artificial intelligence and machine-learning tools that can improve care for his patients. In addition to his clinical and research work, Dr. Ryu contributes to resident and medical student education on inpatient teaching services.

We had a wonderful conversation about the promise and potential of AI to reduce administrative burden in healthcare. We specifically discussed large language models and natural language processing, as well how clinicians might begin their exploration of these tools.

In this episode, Ben Anderson, PharmD, and Diana Schreier, PharmD, join us to discuss their work developing an AI model to automate tasks usually handled by pharmacists. They share lessons learned throughout the process, as well as the potential for AI to alleviate administrative burden and improve patient care.

In this episode, Dr. David Harmon and Dr. LaPrincess Brewer talk about Community Based Participatory Research as an approach to creating trusting relationships among healthcare providers, researchers, and community members who could most benefit from innovative new tools. They highlight their work with the FAITH program, a partnership with African American churches to reduce health disparities and improve community health. Tune in to hear about AI in cardiovascular medicine and the possibilities to use AI for equitable outcomes.

In this episode, Dr. Sagar Dugani discusses the potential for AI to reduce disparities in health outcomes, particularly for those who live in rural communities. He also shares the importance of intentionally considering a hybrid approach to patient care as digital disparities continue to serve as barriers to access.

Join Mayo Clinic Health System for an inaugural community and rural health symposium on September 18, 2023, bringing together multidisciplinary health care leaders to discuss critical issues impacting the health and wellness of community and rural populations. Focus sessions, panels, and workshops throughout the day will explore disruptive approaches to healthcare delivery and workforce development in rural communities including digital health, artificial intelligence, and workforce innovations.

In this episode, Momin Malik, Ph.D. joins us for a conversation about ethics, AI, and medicine. Drawing on historical lessons surrounding ethics and disparities, Dr. Malik provides guiding questions we can ask to mitigate ethical missteps in the design, development, and implementation of AI and ML in healthcare.

Kevin Peterson, Senior Data Scientist at Mayo Clinic, joins us for a fascinating conversation about the changes in medical data systems over time, the role of natural language processing, and the potential for NLP and machine learning to improve patient care.

In this episode of Intelligent Machines + Medicine, Dr. Shauna Overgaard joins us to explain what a translational scientist does, how informatics functions in the field, and how the work empowers physicians. 

Welcome back to the Intelligent Machines + Medicine Podcast. In this episode, Dr. Adedinsewo discusses her innovative research in cardio-obstetrics, using Machine Learning to detect caridiomyopathy during pregnancy. 

Welcome to Intelligent Machines + Medicine, conversations about artificial intelligence, machine learning, and healthcare.

In this preview of the first four episodes, we introduce you to a physician, a data scientist, a translational scientist, and an ethicist. In our conversations, we discuss how they view their roles, the contributions they make, and what they've learned about this rapidly evolving field.