@ShahidNShah
Harvard, Dana-Farber AI challenge uses crowdsourcing to improve cancer care
Artificial intelligence algorithms can target lung cancer tumors for radiation therapy as well as an expert radiation oncologist but can do it 75% to 96% faster. These AI algorithms were not developed by radiation oncologists but by data scientists outside the health system.
Continue reading at fiercehealthcare.com
Make faster decisions with community advice
Next Article
-
NIST Healthcare Standards & Conformance Testing
The NIST Health IT Standards and Testing web site provides information about the key health IT testing initiatives underway. It provides an overview of the Health IT Standards Testing Infrastructure …
Posted Apr 21, 2019