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BackTable / Urology / Podcast / Episode #128

The Impact of AI on Urology: Changing the Game

with Dr. Giovanni Cacciamani

This week on BackTable Urology, urologists Dr. Aditya Bagrodia (UC San Diego) and Dr. Giovanni Cacciamani, assistant professor of urology at the University of Southern California, discuss how artificial intelligence can improve urology practice and research.

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The Impact of AI on Urology: Changing the Game with Dr. Giovanni Cacciamani on the BackTable Urology Podcast)
Ep 128 The Impact of AI on Urology: Changing the Game with Dr. Giovanni Cacciamani
00:00 / 01:04

BackTable, LLC (Producer). (2023, October 18). Ep. 128 – The Impact of AI on Urology: Changing the Game [Audio podcast]. Retrieved from https://www.backtable.com

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Podcast Contributors

Dr. Giovanni Cacciamani discusses The Impact of AI on Urology: Changing the Game on the BackTable 128 Podcast

Dr. Giovanni Cacciamani

Dr. Giovanni Cacciamani is an assistant professor of urology and radiology at University of Southern California in Los Angeles.

Dr. Aditya Bagrodia discusses The Impact of AI on Urology: Changing the Game on the BackTable 128 Podcast

Dr. Aditya Bagrodia

Dr. Aditya Bagrodia is an associate professor of urology and genitourinary oncology team leader at UC San Diego Health in California and adjunct professor of urology at UT Southwestern.

Synopsis

First, Dr. Cacciamani explains the origin of artificial intelligence (AI) and machine learning, which started with Alan Turing. AI learns from a large amount of data and adds on layers of knowledge as it increases the quantity of data it collects. For this reason, Dr. Cacciamani explains the principles behind algorithmic learning and the concept of generative AI. Large language models are examples of generative AI that can generate original videos, images, and text. Next, Dr. Cacciamani explains how his interest in AI started at USC. During the pandemic, he had free time and wanted to find a solution to the repetitive tasks that caused burnout in fellows, residents, attendings. He learned more about AI principles and established the first AI center of urology in the world at USC in order to integrate AI into academia.

Then, he and Dr. Bagrodia discuss the potential areas of AI applications, such as scribing, billing, constructing nomograms for early detection and prognosis, and imaging interpretations. Additionally, Dr. Cacciamani shares research about how AI is helping radiologists to improve the accuracy of diagnostic imaging. He encourages academic institutions to be involved in AI product development in biotech companies as well. Then, the doctors discuss the use of AI in surgery, which can serve as a co-pilot minimally invasive surgery. Dr. Cacciamani shares about the USC ICAROS lab, which explores ways to use AI to detect intraoperative complications and near miss events.

The episode ends with a discussion about the ethics of using AI in medicine. The doctors discuss concepts of data privacy, accountability, and explainability. Dr. Cacciamani emphasizes the importance of establishing multiple regulatory agencies to monitor AI use and create guidelines for generative AI in academia. Dr. Bagrodia agrees that AI should never take away from the physician-patient relationship, but in contrast, enhance the time the physician spends with the patient.

Resources

“Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again” by Eric Topol

World Health Organization: Ethics and Governance of Artificial Intelligence for Health
https://www.who.int/publications/i/item/9789240029200

Cacciamani GE, Anvar A, Chen A, Gill I, Hung AJ. How the use of the artificial intelligence could improve surgical skills in urology: state of the art and future perspectives. Curr Opin Urol. 2021 Jul 1;31(4):378-384.
https://pubmed.ncbi.nlm.nih.gov/33965984/

Disclaimer: The Materials available on BackTable.com are for informational and educational purposes only and are not a substitute for the professional judgment of a healthcare professional in diagnosing and treating patients. The opinions expressed by participants of the BackTable Podcast belong solely to the participants, and do not necessarily reflect the views of BackTable.

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