HIMSS TV is your Insider’s Guide to everything HIMSS. We are the world’s first online broadcasting network, focused on global innovation and how information and technology are driving change in healthcare.
  Home
AI and machine learning success requires solid foundation in data and analytics
AI/ML

AI and machine learning success requires solid foundation in data and analytics

1:36

Boston AI event focuses on how to build healthcare data competency and acquire new AI skills.

Read More
Read Less

AI/ML - Similar Videos View more in AI/ML

3:10

Getting started with no-code AI

"You really have to be thoughtful about safeguarding the data," says Andy Crowder, SVP and chief data and AI officer of Advocate Health. The provider has been using Agent Factory, Epic's EHR-integrated artificial intelligence development tool.

Getting started with no-code AI
"You really have to be thoughtful about safeguarding the data," says Andy Crowder, SVP and chief data and AI officer of Advocate Health. The provider has been using Agent Factory, Epic's EHR-integrated artificial intelligence development tool.
3:10
3:54

(Sponsored) How synthetic data could redesign medical device regulation

Stuart Harrison, cofounder and CEO of ETHOS, discusses how synthetic data and real-world evidence could support safer and more efficient validation of AI-enabled medical devices through the Horizon Europe project, INSAFEDARE.

(Sponsored) How synthetic data could redesign medical device regulation
Stuart Harrison, cofounder and CEO of ETHOS, discusses how synthetic data and real-world evidence could support safer and more efficient validation of AI-enabled medical devices through the Horizon Europe project, INSAFEDARE.
3:54
8:14

Consumers may not understand AI's hidden costs

Author Karen Hao says users often do not know about the immense scale of AI data centers and their computing infrastructure, as well as the labor exploitation and environmental strain that accompany them.

Consumers may not understand AI's hidden costs
Author Karen Hao says users often do not know about the immense scale of AI data centers and their computing infrastructure, as well as the labor exploitation and environmental strain that accompany them.
8:14