Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of Nephrology.

Navdeep Tangri¹, Wisit Cheungpasitporn², Stanley D Crittenden³, Alessia Fornoni⁴, Carmen A Peralta⁵, Karandeep Singh⁶, Len A Usvyat⁷, Amy D Waterman⁸,

¹Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.

²Mayo Clinic, Rochester, Minnesota.

³Quantum Health, Redondo Beach, California.

⁴Department of Medicine, University of Miami, Miami, Florida.

⁵Habitat Health, San Mateo, California.

⁶Joan and Irwin Jacobs Center for Health Innovation, University of California, San Diego, San Diego, California.

⁷Renal Research Institute, New York, New York.

⁸Houston Methodist Hospital, Houston, Texas.

PubMed PMC DOI PDF

Abstract

Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive analytics, machine learning, deep learning, and generative AI technologies. To meet this challenge, the American Society of Nephrology convened an AI Workgroup to provide a framework for the responsible use of AI in nephrology. The group outlines foundational principles to guide AI development: prio…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.