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Population health doesn’t have to mean boiling the ocean
AI/ML

Population health doesn’t have to mean boiling the ocean

6:08

At MEDinIsrael 2019, Medial Earlysign CEO Ori Geva describes how his startup helps hospitals turn data into action for particular high-need use cases.

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5:24

AMAM model provides a roadmap for analytics, AI adoption

Dr. Seyoung Jung, Seoul National University Bundang Hospital CIO, says that going through the HIMSS AMAM validation process helped hospital leaders understand how best to implement AI and analytics tools.

AMAM model provides a roadmap for analytics, AI adoption
Dr. Seyoung Jung, Seoul National University Bundang Hospital CIO, says that going through the HIMSS AMAM validation process helped hospital leaders understand how best to implement AI and analytics tools.
5:24
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