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Artificial Intelligence

By Mike Miliard | 01:53 pm | January 15, 2020
Its new analytics project will apply AI to deidentified data from across Mayo and other health systems, and comb scientific literature to gain insights into new medical advances.
By Nathan Eddy | 04:09 pm | January 14, 2020
A new American Hospital Association report on workforce strategic planning trends says technology is well-positioned to help health systems combat professional staffing shortages.
By Mike Miliard | 04:09 pm | January 13, 2020
At HIMSS20, its Chief Health Information Officer will show how the health system is simplifying AI models so care managers can better understand them – and be more likely to use them.
Emerging Technology
By Bill Siwicki | 02:16 pm | January 13, 2020
Five health IT experts from patient experience and patient engagement IT vendor GetWellNetwork open up about what they are seeing as important trends this year.
By HIMSS TV | 12:00 pm | January 13, 2020
NSW Health has developed with Philips at a remote care center AI-powered early warning indicator score software that provides insights for better patient care, says Steven Mullins, district transformation manager at NSW Health.
By Nathan Eddy | 12:18 pm | January 10, 2020
The findings suggest AI systems can be trained to detect and grade cancer in prostate needle biopsy samples with an accuracy rate equal to that of prostate pathology experts.
SPONSORED
By Health Catalyst | HIMSS TV | 12:00 pm | January 10, 2020
Health Catalyst aims to take learnings from the U.S. and work with healthcare systems in the APAC region to reduce waste using data analytics, says Farhana Nakhooda, the company's SVP of healthcare and life sciences.
By Dean Koh | 03:15 am | January 08, 2020
The new SERI-NTU Advanced Ocular Engineering (STANCE) Laboratory is a collaboration between NTU, SNEC and SERI. 
Innovation
By Bill Siwicki | 10:30 am | January 07, 2020
Three experts from different areas of the health IT field discuss how artificial intelligence is going to play a larger role in the year ahead.
Cloud Computing
By Nathan Eddy | 10:10 am | January 07, 2020
A study published in Nature suggests its model was able to spot cancer in de-identified screening mammograms with fewer false positives and false negatives than experts.

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