AI, Radiology and Ethics: A Podcast Series

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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 jbanja@emory.edu

Emory University Center for Ethics


    • Oct 31, 2022 LATEST EPISODE
    • monthly NEW EPISODES
    • 33m AVG DURATION
    • 19 EPISODES


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    Latest episodes from AI, Radiology and Ethics: A Podcast Series

    Discussing the Ethics of AI and Medical Error in Radiology

    Play Episode Listen Later Oct 31, 2022 64:33


    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.

    Patients, Their Data, and Their Privacy

    Play Episode Listen Later Oct 26, 2022 32:37


    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.

    The Complexity of Concussion and Growing a Program in AI

    Play Episode Listen Later Oct 25, 2022 39:46


    Dr. Yvonne Lui from NYU discusses her radiology research on brain injuries and on growing a clinical and research program in artificial intelligence.

    The Business of AI in Radiology

    Play Episode Listen Later Sep 20, 2022 47:01


    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

    Health Disparities Revisited: Hopes and Challenges in Medicine and Radiology Practice

    Play Episode Listen Later May 16, 2022 40:59


    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.

    On Reducing Error in Clinical Care with Artificial Intelligence

    Play Episode Listen Later May 12, 2022 37:23


    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.

    AI in Health Disparities, Vendor-Hospital Agreements, and Refugee Resettlement

    Play Episode Listen Later Apr 19, 2022 37:13


    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.

    PREVIEW of Episode 10: On Pigeons, Residency Training, and the Development of Expertise.

    Play Episode Listen Later Apr 6, 2022 2:38


    A short snippet from Episode 10: On Pigeons, Residency Training, and the Development of Expertise for you to sample.

    Avoiding Shortcut Solutions in Machine Learning Models

    Play Episode Listen Later Mar 14, 2022 35:43


    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.

    On Pigeons, Residency Training, and the Development of Expertise.

    Play Episode Listen Later Nov 15, 2021 41:37


    In this podcast, Dr. Elizabeth Krupinsky at Emory University discusses some similarities between pigeon visual processing and humans as well as the development of expert performance in radiology.

    On AI and Health Disparities with Dr. Bibb Allen

    Play Episode Listen Later Nov 8, 2021 32:54


    Can AI relieve some of the problems involving the social determinants of health? This podcast discusses these and other aspects of health disparities in the technological age.

    It's Complicated: Reimbursing Radiology Services in the Age of AI

    Play Episode Listen Later Aug 17, 2021 33:25


    Melissa Chen, MD, from the Department of Diagnostic Radiology at the University of Texas MD Anderson Cancer Center discusses the complexities surrounding reimbursement for AI in radiology.

    Preparing the Radiology Department or Clinic for the Future of AI

    Play Episode Listen Later Jul 19, 2021 27:51


    Dr. Charles Kahn, Professor and Vice Chair of Radiology at the University of Pennsylvania Perelman School of Medicine and editor of Radiology: Artificial Intelligence, discusses strategies for preparing the radiology department or clinic for the future of artificial intelligence.

    AI in Radiology: The Role of Professional Organizations in Standards Development, Conflicts of Interest, and Bringing Radiology to the World

    Play Episode Listen Later Jun 15, 2021 31:31


    Dr. Geraldine McGinty and Ms. Michelle Yi discuss the roles of professional organizations in providing high-quality membership services and in maintaining the quality and distribution of radiology services throughout the world.

    Implementing AI in Health Care Delivery: Perspectives from Executive Clinical Leadership

    Play Episode Listen Later May 27, 2021 35:13


    This podcast examines a number of issues related to the implementation of AI in our hospitals and clinics, especially in terms of how health care leaders and their executive committees might be responding to the development and marketing of these models.

    How Will Artificial Intelligence Affect the Medical Malpractice Experience in Radiology?

    Play Episode Listen Later Feb 22, 2021 35:24


    Radiologists Michael Bruno and Richard Duszak discuss the potential impact of artificial intelligence on the medical malpractice landscape of radiology with medical ethicist John Banja.

    Bias, Fairness and Generalizability

    Play Episode Listen Later Nov 18, 2020 16:07


    Dr. Leo Celi discusses various problems involving bias, fairness and generalizability that continue to affect the adoption of artificial intelligence models in hospitals and clinics. Dr. Celi also makes a number of recommendations for improving relationships between health care organizations and the private sector as AI research moves forward. Articles that Dr. Celi mentions in the podcast are: Futoma J, Simons M, Panch T, Doshi-Velez F, Celi L. The myth of generalizability in clinical research and machine learning in health care. Lancet Digital Health 2020; 2:e489-92. At: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30186-2/fulltext. Stuppe A, Singerman D, Celi L. The reproducibility crisis in the age of digital medicine. NPJ Digital Medicine January 29, 2019. At https://www.nature.com/articles/s41746-019-0079-z. Vyas D, Eisenstein L, Jones D. Hidden in plain sight—reconsidering the use of race correction in clinical algorithms. The New England Journal of Medicine August 27, 2020; 383(9):874-882. At: https://www.nejm.org/doi/full/10.1056/NEJMms2004740.

    Bias: Confronting the Problem

    Play Episode Listen Later Oct 14, 2020 22:31


    Drs. Carolyn Meltzer and Adam Alessio comment on the phenomenon of bias in artificial intelligence models. Their conversation focuses on the inevitability of bias, the difficulties that are confronted in eliminating it, and the state of the art in mitigation techniques.

    Sharing and Selling Images

    Play Episode Listen Later Sep 7, 2020 14:04


    Dr. Nabile Safdar, Vice Chair of Imaging Informatics at the Department of Radiology and Imaging Sciences at Emory University School of Medicine, comments on the phenomenon of sharing and selling images in radiology. The discussion focuses on ethical and regulatory expectations, securing authorization from data subjects, and important considerations that radiology practices should contemplate when they are invited to participate in sharing or selling arrangements. https://www.jacr.org/article/S1546-1440(20)30843-7/pdf

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