VentureBeat January 19, 2022
VB Staff

A new report by CSA reveals that rapid developments in AI, ML, and data mining have allowed technology and health care innovators to create intelligent systems in order to optimize and improve the diagnosis process, quickly capturing unforeseen patterns within complex and large datasets.

According to the Agency for Healthcare Research and Quality, 10% of patient deaths are a direct consequence of misdiagnosis. By using AI and ML, health care service providers can improve the precision of each diagnosis. Medical diagnostics using AI and ML are rapidly expanding, and automation is increasingly helping to detect life-threatening conditions in their earliest stages.

For example, ML helps oncologists not only pinpoint the location of a tumor, but can also accurately determine if...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Provider, Survey / Study, Technology, Trends
‘Think about the hype’ - AI holds disruptive potential for health care
Will Synthetic, AI-Based Digital Humans Change Pharma and Life Sciences? Q&A with Abid Rahman, SVP Innovation, EVERSANA
Investigators Train AI Systems to Predict RA Outcomes
Confronting the Digital Dilemma in Healthcare’s Quest for Innovation
NIH develops AI tool to better pair cancer patients with drugs

Share This Article