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Artificial Intelligence

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.
04:00 am | November 01, 2018
In November we delve into the ways AI and machine learning have already taken root in healthcare and examine the promise and threats of AI.
Quality & Safety
By Jessica Davis | 04:29 pm | October 22, 2018
As Watson has undergone close scrutiny over the past year, leader Deborah DiSanzo is moving to IBM Cognitive Solutions' strategy team.
By Leontina Postelnicu | 02:18 pm | October 19, 2018
Bradford Teaching Hospitals NHS Foundation Trust will open an AI-powered command centre at the Bradford Royal Infirmary next spring, thought to be the first of its kind in Europe, through a partnership with GE Healthcare.
Workflow
By HIMSS TV | 04:34 pm | October 18, 2018
Jennifer Esposito, general manager of Health and Life Sciences at Intel, explains how AI benefits workflows with its direct impact to be a seamless integration for physicians and the patient experience.
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.
Workflow
By Bill Siwicki | 01:18 pm | October 17, 2018
The Reaction Data research shows the vendor holds 81 percent market share and details the runners up along with other findings.
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.
Analytics
By Mike Miliard | 11:50 am | October 16, 2018
During this podcast, Rogers says IT has "come along just in time" to transform the healthcare delivery system.
Analytics
By HIMSS TV | 12:45 pm | October 12, 2018
Prof Xiangliang Zhang, associate professor at King Abdullah University of Science and Technology, is working with biology data to understand the relationship between disease, genes and drugs to gain better insight to develop predictive models; and encouraging students into pursue careers in data science.