AI startup aiming to build world’s largest medical imaging library raises $2.75M

An artificial intelligence startup aiming to build the world’s largest medical imaging library has raised $2.75 million in new investments.

Raleigh, North Carolina-based Gradient Health said ReMY Investors & Consultants led this funding raising round, with several venture capital firms also contributing. Leaders said they plan to use the money to continue assembling a comprehensive database of annotated medical images.

“We're excited by Gradient's vision of building the data layer that will underpin all future medical AI,” Shana Barghouti, MBA, co-chief information officer of Los Angeles-based ReMY Investors, said in a June 20 announcement. “Gradient Health are building capabilities that will allow for rapid and game-changing advancements in the medical and pharmaceutical industries,” she added later.

The company said its platform offers a range of features to facilitate research and collaboration. Those include “state of the art” security measures, machine learning-ready formatting, and the ability to search by disease or imaging modality. Gradient said it is working jointly with academic institutions provider groups and technology partners to “advance medical knowledge and improve patient care.”

Duke University alums first founded the company in 2018 and it has raised $5.7 million to date from 15 investors, according to Crunchbase. Gradient Health now spans 10 countries, across 1,000 hospitals with 350 million patient studies collected and counting. Radiologist Sophie Chheang, MD, MBA, has served as the company’s chief medical officer since 2021.

Marty Stempniak

Marty Stempniak has covered healthcare since 2012, with his byline appearing in the American Hospital Association's member magazine, Modern Healthcare and McKnight's. Prior to that, he wrote about village government and local business for his hometown newspaper in Oak Park, Illinois. He won a Peter Lisagor and Gold EXCEL awards in 2017 for his coverage of the opioid epidemic. 

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