Intelligent Machines + Medicine
Mayo ClinicConversations about artificial intelligence, machine learning, and healthcare relevant for physicians, nurse practitioners, physician assistants, pharmacists, residents, students, and other clinicians.
| Publishes | Weekly | Episodes | 9 | Founded | a year ago |
|---|---|---|---|---|---|
| Categories | MedicineMathematicsScienceHealth & Fitness | ||||
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Latest Episodes
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 develop... more
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 ... more
In this episode, Dr. David Harmon (https://college.mayo.edu/academics/residencies-and-fellowships/cardiovascular-diseases-fellowship-minnesota/meet-our-trainees/) and Dr. LaPrincess Brewer (https://www.mayoclinic.org/biographies/brewer-laprincess-c-m... more
In this episode, Dr. Sagar Dugani (https://www.mayoclinic.org/biographies/dugani-chandrasagar-sagar-m-d-ph-d/bio-20477947) discusses the potential for AI to reduce disparities in health outcomes, particularly for those who live in rural communities. ... more
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 desi... more
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 pati... more
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.
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