Mount Sinai to Apply AI to Improve Kidney Disease Detection, Management | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

Mount Sinai to Apply AI to Improve Kidney Disease Detection, Management

June 1, 2018
by David Raths
| Reprints
RenalytixAI’s machine learning will be deployed against Mount Sinai’s massive patient data warehouse biorepository

Mount Sinai Health System in New York is collaborating with startup RenalytixAI Plc, to use artificial intelligence solutions to improve kidney disease detection, management and treatment for patients with diabetes and other at-risk patient populations.  

The partnership will leverage Mount Sinai’s data warehouse containing over 3 million patient health records and 43,000 patient records in the biobank repository, and using de-identified clinical data, will create an advanced learning system to monitor and flag patients at risk for kidney disease and costly unplanned “crashes” into dialysis. 

Approximately 1 million patients cared for in the Mount Sinai Health System are either diagnosed with Type II diabetes or are of African ancestry, two of the major at-risk population segments for kidney disease.

The first product launch is anticipated in the second quarter of 2019 targeting preventable dialysis and chronic kidney disease costs. Additional U.S. based healthcare systems are expected to participate in clinical utility data development and product launch.  

“Our ability to apply the power of artificial intelligence against such a deep repository of clinical data in combination with prognostic biomarkers has the potential to change the game for all of our patients with diabetes and other populations at risk for kidney disease,” said Barbara Murphy, M.D., Dean for Clinical Integration and Population Health Management and Chair for the Department of Internal Medicine at the Icahn School of Medicine at Mount Sinai, in a prepared statement. She also chairs the RenalytixAI Scientific Advisory Board. 

Established in 2018, RenalytixAI expects to pursue expanded clinical utility trials through collaborations with leading academic medical centers, pharmaceutical and patient advocacy organizations in the United States and Europe this year, followed by submission of product applications for review by the U.S. Food and Drug Administration. 


Get the latest information on Health IT and attend other valuable sessions at this two-day Summit providing healthcare leaders with educational content, insightful debate and dialogue on the future of healthcare and technology.

Learn More



White House Proposes Restructuring, Renaming HHS as Part of Broad Reorganization Plan

A sweeping government reorganization plan released by the White House Thursday proposes restructuring and renaming HHS, including moving many public assistance programs from USDA to HHS.

CMS Introduces Data Element Library

The Centers for Medicare & Medicaid Services (CMS) has announced the launch of its Data Element Library (DEL), with the overarching goal to support the exchange of electronic health information.

Data Breach at Health Billing Company Exposes PHI of 270,000 People

A healthcare data breach at Med Associates, a Lathan, N.Y.-based health billing company, that may have exposed the protected health information (PHI) of 270,000 people, according to local media reports.

CMS to Host Blue Button 2.0 Developer Conference

The Centers for Medicare & Medicaid Services will host the first Blue Button 2.0 Developer Conference at the General Services Administration national headquarters in Washington, D.C., on Monday, Aug. 13, 2018.

House Passes Bill to Align HIPAA, 42 CFR Part 2

The U.S. House of Representatives recently passed a bill designed to align 42 CFR Part 2 with HIPAA for the purposes of health care treatment, payment, and operations. One goal of the change is so that care can be better coordinated and providers can have appropriate access to all of a patient’s medical record, including information about substance use disorders.

MedStar Health Awarded Grant to Pilot Apps for Patient-Reported Outcome Data

A team of researchers from Maryland-based MedStar Health has been awarded an 18-month contract from AHRQ to support the development and testing of technical tools and apps that can be used to collect patient-reported outcome data.