Partnership for Responsible Augmented Intelligence (AI) in Kidney Health
Established in 2024, the goal of the Partnership for Responsible AI in Kidney Health is to create and support a community of diverse stakeholders interested in augmented intelligence (AI) and its impact on kidney health. The foundation for this new effort is the recommendations of the 2022 ASN Augmented Intelligence and Digital Health Task Force. AI is a rapidly changing field with implications for health care and kidney health. ASN is proud to be leading medical specialty societies as health care adapts to the use of AI and societies learn how best to support their members.
The effort will advance understanding of AI, Machine Learning, and Generative AI. Clinical domains such as AKI, CKD, Dialysis, and Transplant will serve as the cross-functional areas for projects and education. The ASN hopes this effort will support patient care, drive research and innovation as well as educate and train the nephrology workforce on AI.
Rewired: Navigating AI's Role in Kidney Health Podcast Series
This podcast series is your go-to resource for AI, its impact in kidney care, and responsible use of AI tools. Episodes are released monthly so be sure to follow us in your favorite podcast service.
ASN Community: AI-Powered Kidney Network
Have a question about predictive AI or generative AI? Interested in learning more from more advanced users? Join other ASN members in the AI Powered Kidney Network. Login into the ASN website, click on COmmunities in the top navigation and search for this community. Remember to set your notifcations from AI-Powered Kidney Network (use settings) in order to review the new posts.
AI in Nephrology: A Hands-on Primer Workshop
2-Day Workshop: March 16-17, 2026 New York Academy of Medicine | New York, New York
Co-Hosted by American Society of Nephrology, Windreich Department of Artificial Intelligence and Human Health at Icahn Mount Sinai School of Medicine, and Renal Research Institute.
This hands-on workshop introduced nephrologists, fellows, nurses, dietitians, and social workers to the fundamentals of artificial intelligence (AI). Sessions were designed to engage care providers with experience at every level. Real-world kidney care scenarios were used in the simulation of practical applications and case studies. The session was interactive and hands-on, and each participant completed workshop exercises on their own laptop. Fellows presented abstracts for group discussion and learning.
Learning Objectives
Upon completion of this activity, participants can:
- Describe the basics of artificial intelligence (AI) and relevant applications in the delivery of healthcare.
- Demonstrate practical applications of AI in the delivery of kidney care.
- Understand their competency and gaps in using AI responsibly through the interactive, hands-on tutorial.
Presentations
For a limited time, the presentations are available for download
Opening Session:
- A Hands-on Primer by Dr. Lili Chan
- Bias, Ethics & Privacy: Clinician and Health Systems Perspectives by Dr. Waterman
- AI Tools in Healthcare by Dr. Lili Chan
Hands-on Session: Image Recognition by Dr. Bergling, Dr. Winter, and Dr. Zhang
Hands-on Session: Clinical Cases by Dr. Bergling, Dr. Winter, and Dr. Zhang
Hands-on Session: How to Teach Fellows and Colleagues by Dr. Wisit Cheunpasitporn
Hands-on Session: Data Science and Generative AI by Dr. Neri and Mr. Pivert
Hands-on Session: Vibe Coding by Dr. Bergling
AI in Nephrology Conference
Meeting Site: University of California, San Diego School of Medicine
Co-Hosted Event: UCSD, UAB, Division of Data Driven and Digital Medicine at Mount Sinai Healthcare System.
This conference, supported by ASN travel grants, is a broader scientific and academic forum. It focuses more heavily on cutting-edge research, emerging methods, and scholarly exchange among investigators working at the intersection of nephrology and data science. Perfect for those with a primary interest in deeper research discussion, methodological innovation, and networking with investigators in a more traditional academic meeting format.
Steering Committee
Champion
- Navdeep Tangri, MD, PhD (2026)
Members
- Lili Chan, MD, MS (2026)
- Wisit Cheungpasitporn, MD, FASN (2026)
- Carmen A. Peralta, MD, MS, FASN (2026)
- Karandeep Singh, MD, MMSc (2026)
- Len A. Usvyat, PhD, FASN (2026)
- Amy D. Waterman, PhD (2026)
Staff Liaison
- Melissa West
Questions?
To learn about the ASN Partnership for Responsible AI in Kidney Health or the Hands-On Workshop, please contact Melissa West at mwest@asn-online.org