A lack of quality clinical data is hindering machine learning models for oncology and other treatments, says Steve Irvine, CEO of integrate.ai, who describes how federated learning approaches can enable secure access to a wider array of datasets.
Subscribe to:
Post Comments (Atom)
< + > Why US Hospitals Drown in Claims While Canada Misses Clinical Data
Health information management conferences in Canada rarely focus on claims rejections. This is a stark contrast to the heavy revenue cycle d...
-
As I’m sure you know, times are tough. Wages have largely remained the same while prices have risen across the board – and healthcare is no ...
-
Solution Erases Long Phone Holds for Patients, Supports Overwhelmed Medical Front Desk Workers, and Improves Patient Access to Physicians A...
-
Announcement written by Zack Kanter, Founder and CEO at Stedi In February of last year, I gathered our engineering team in a war room. Chan...
No comments:
Post a Comment