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Compared with standard statistical reviews of process-control charts, AI analysis of data routinely captured by hospitals monitoring handwashing compliance can provide highly targeted and actionable feedback to individual healthcare workers.

Medical-device giant Medtronic is partnering with Viz.ai to offer stroke centers capabilities for automatically flagging large vessel occlusions while the patient is still on the bed of a CT scanner.

Siemens Healthineers and the University of Missouri System have teamed up to launch a new initiative to transform healthcare delivery with precision medicine with its Alliance for Precision Health. The alliance will focus on cancer, Alzheimer’s disease, cardiovascular disease and more.

A convolutional neural network (CNN) has beaten a team of 11 pathologists at diagnosing melanoma.

Combining machine learning with statistical modeling, researchers have analyzed tweets to figure out who’s doing more to keep fit—men or women—along with exactly how the sexes are exercising and approximately where they live.

A former executive from payment platform PayPal has launched a new deep learning health intelligence platform, Global Care Analytics, to provide claims-and-cost clinical data and predictive analytics for healthcare companies.

 

In regions of the world lacking resources to conduct comprehensive autopsies, AI can automatically draw cause-of-death conclusions from verbalized clues.

Over the last six years, Dell Technologies Capital has plunked down more than $600 million to invest in startups focused on accelerating the “reinventing work” evolution. Microsoft’s M12 venture fund has shown similar enthusiasm.

Often lost in discussions about AI’s unfolding impact on healthcare is its uncertain effect on patient-physician relationships. The authors of an opinion piece published July 15 in JAMA take up a key question underlying this lack.

The VA’s inaugural director of artificial intelligence believes the technology is “the only way” to move healthcare closer to its perennial dual goals of reducing costs and providing better care.

Dermatology researchers have mined Reddit discussion forums with natural language processing and come away with some surprising insights into patients’ at-home skin treatments for conditions like acne, eczema and psoriasis.

Following its search engine-based entry into algorithmic suicide prevention this past spring, the Trevor Project is fine-tuning Google’s AI technology by training algorithms on both initial conversations with counselors and the counselors’ post-session risk assessments.