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AI, Radiology and Ethics: A Podcast Series
AI, Radiology and Ethics: A Podcast Series episodes
- Discussing the Ethics of AI and Medical Error in Radiology
This interview is reproduced with the kind permission of Dr. Maxwell Cooper, host of the DaVinci Hour podcasts. Dr. Cooper interviews John Banja on various topics related to the ethical dimension of AI in radiology and on medical error in radiology. Please visit Dr. Cooper’s DaVinci Hour podcasts at https://podcasts.apple.com/us/podcast/the-davinci-hour/id1554398921.
1 hr 5 min - Patients, Their Data, and Their Privacy
This interview focuses on a variety of ethical vulnerabilities that big data in AI presents. Dr. Amy Kotsenas offers recommendations for better protecting data privacy in the age of AI. See her lead author article on “Rethinking patient consent in the era of artificial intelligence and big data” at https://www.jacr.org/article/S1546-1440(20)30965-0/fulltext.
33 min - The Complexity of Concussion and Growing a Program in AI
Dr. Yvonne Lui from NYU discusses her radiology research on brain injuries and on growing a clinical and research program in artificial intelligence.
40 min - The Business of AI in Radiology
Dr. Hari Trivedi discusses a range of issues on the economics of improving and importing AI technology along with his envisioning the near future of AI business models in radiology. See his article in the Journal of the American College of Radiology at https://www.jacr.org/article/S1546-1440(22)00113-2/fulltext
48 min - Health Disparities Revisited: Hopes and Challenges in Medicine and Radiology Practice
This podcast features Drs. Judy Gichoya and Leo Celi discussing how various biases in artificial intelligence models can affect radiology work. They also discuss certain strategies that might mitigate them.
41 min - On Reducing Error in Clinical Care with Artificial Intelligence
In this podcast, Pelu Tran discusses how artificial intelligence can improve workflow and reduce various kinds of errors that occur in diagnosis and treatment planning.
38 min - AI in Health Disparities, Vendor-Hospital Agreements, and Refugee Resettlement
In this podcast, Dr. Muhammed Idris talks about his work in using AI for improving self-management health-related behaviors as well as using AI for resettling refugees.
38 min - PREVIEW of Episode 10: On Pigeons, Residency Training, and the Development of Expertise.
A short snippet from Episode 10: On Pigeons, Residency Training, and the Development of Expertise for you to sample.
3 min - Avoiding Shortcut Solutions in Machine Learning Models
In this podcast Joshua Robinson discusses his work at MIT and his recent, lead author paper on how contrastive learning might lead to more reliable predictions in AI. Josh’s paper is at the NeurIPS proceedings website:
https://papers.nips.cc/paper/2021/hash/27934a1f19d678a1377c257b9a780e80-Abstract.html.
36 min - On Pigeons, Residency Training, and the Development of Expertise.
In this podcast, Dr. Elizabeth Krupinski at Emory University discusses some similarities between pigeon visual processing and humans as well as the development of expert performance in radiology.
42 min
About AI, Radiology and Ethics: A Podcast Series
From the publisher's feed
The most recent generation of artificial intelligence technologies is introducing a host of ethical problems to radiology practice and health care delivery. Join Dr. John Banja, a medical ethicist at Emory University’s Center for Ethics, and his guests discuss the ethical challenges that artificial intelligence presents. This podcast is made possible by grants from the Advanced Radiology Services Foundation and the National Institutes of Health National Center for Advancing Translational Sciences.
For articles and research, please visit https://bit.ly/3vtFtI2
Questions? Email [email protected]