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Artificial Intelligence

By HIMSS TV | 05:55 pm | April 01, 2019
Startup Medial Earlysign is helping hospitals turn data into action for particular high-need use cases, according to company CEO Ori Geva.
By HIMSS TV | 05:34 pm | March 29, 2019
Tushar Mehrotra, senior vice president of analytics at Optum, says that with healthcare at a turning point when it comes to using data analytics, AI is no longer just a "nice to have" competency.
By Mike Miliard | 12:43 pm | March 29, 2019
In partnership with Hasso Plattner Institute, the New York health system will devote new resources to advancing biomedical and digital engineering, AI, machine learning and more.
By HIMSS TV | 09:55 am | March 29, 2019
AI scientist Rohit Ghosh, a founding member of Qure.ai, discusses using artificial intelligence and machine learning to advance radiology and examples of success stories.
By HIMSS TV | 06:08 pm | March 28, 2019
Looking to move healthcare systems out of the last century, the software giant is focusing on areas such as AI, population health, public cloud, precision medicine and virtual services, says Microsoft Chief Medical Officer Simon Kos.
By Tom Sullivan | 01:17 pm | March 28, 2019
EmblemHealth CEO Karen Ignagni says the effort gives a glimpse into the next generation of population health.
By Nathan Eddy | 11:10 am | March 28, 2019
Amid all the promise AI brings, a new report warns that healthcare payers and providers must move quickly to ensure they have the right talent and data to succeed.
By Mike Miliard | 05:00 pm | March 27, 2019
The CMS Artificial Intelligence Health Outcomes Challenge stems from the Trump administration's recent call to boost AI innovation in the U.S.
By HIMSS TV | 01:27 pm | March 27, 2019
Nathan Wenzler, senior director of cybersecurity at Moss Adams, says the idea that AI needs no management simply isn’t true and, instead, smart people must be involved to make decisions about the data and findings.
By Mélisande Rouger | 08:01 am | March 27, 2019
Spanish AI startup QUIBIM has partnered with the AI Precision Health Institute (AI-PHI) at the University of Hawai‘i Cancer Center in Honolulu to manage, store and quantitatively analyse medical images and algorithms in breast cancer research.