AI in healthcare has long been touted as an innovative technology that will accelerate care treatments and even replace some tasks performed by clinicians. But its impact might be inequitable in the future.
NIH funding opportunities remain numerous for innovators who apply evidence-based medical science to their proposals for smartphone apps, and the agency isn’t hesitant to get behind AI-based approaches.
Plastic surgeons can apply “emotional AI” algorithms to social media as a way of predicting which specific services will bring in business, according to a study running in the August edition of Plastic and Reconstructive Surgery.
Healthcare organizations and providers are facing more pressures than ever, from regulatory strains to financial squeezes. Blockchain is one area that can act as a major time and cost saver for healthcare organizations, according to a recent report from JPMorgan Chase.
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 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.
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.