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Artificial Intelligent

Artificial Intelligent
By Laura Lovett | 01:10 pm | November 02, 2018
Artificial Intelligent
By Mélisande Rouger | 12:51 pm | November 02, 2018
Artificial intelligence (AI) is increasingly permeating medical imaging, but its integration into clinical practice will depend on the capacity of AI technology to facilitate workflow. How far has radiology advanced on this path? Insights asked a leading expert to find out.
Artificial Intelligent
By HIMSS TV | 11:07 am | November 02, 2018
Douglas Reding, Chief Medical Officer for Ascension Wisconsin and practicing oncologist, talks about Ascension's journey with its precision medicine task force, the need for AI support and the future of AI and machine learning.
Artificial Intelligent
By Mike Miliard | 12:07 pm | November 01, 2018
The government should build on existing artificial intelligence R&D plans, instead of starting over from scratch, the health informatics group said.
Artificial Intelligent
By HIMSS TV | 11:33 am | November 01, 2018
John Halamka, CIO of Beth Israel Deaconess Medical Center, and Paul Cerrato, Contributing Writer, Medscape, Medpage Today, discuss how AI and big data can help make personalized medicine a reality.
Artificial Intelligent
By Tom Sullivan | 10:15 am | November 01, 2018
AI is already having a big impact, but strategic planning is not keeping pace and healthcare organizations need to be proactive about developing tools now.
Mobile Health IT
By Tom Sullivan | 01:43 pm | October 17, 2018
What IT shops and clinicians should expect in 2019: plenty of tech failures.
Artificial Intelligent
By Bill Siwicki | 02:16 pm | October 16, 2018
Fighting the United States' abysmal maternal and fetal mortality problems, Baylor College of Medicine is applying artificial intelligence to aid physicians at key moments.
Quality & Safety
By Mike Miliard | 10:43 am | September 28, 2018
In a bipartisan new report on artificial intelligence, Rep.
Analytics
By Leontina Postelnicu | 05:17 pm | September 11, 2018
The machine learning model uses 600 variables with patient's data whereas human-constructed models made predictions based on 27, researchers say.