AI holds the promise of improving gerontology by making it more predictive, personalized, preventive and participatory. However, to get there, an equal number of pronounced risks must be negotiated.  

Patient-facing healthcare workers are neither softened nor hardened in their attitudes toward clinical decision support powered by AI when it’s instead called “AHI,” for augmented human intelligence.

An AI system trained to supply clinical decision support in the U.S. has proven adaptable for physicians treating patients with lung cancer on the other side of the globe.

Engineers have come up with a way to place paper-thin sensors on the skin using literal paper. The kind you use in your copy machine will do.

The vast majority of patients with suspected melanoma—94%—would welcome the use of AI as an augmenter of their dermatologist’s diagnostic skills. And more than 40% would trust their diagnosis to a standalone AI system.  

Given that the disease is one of the most common cancers among women, these results may help personalize care plans and avoid invasive options for many struggling with treatment decisions, experts wrote in JAMA Network Open.

Massachusetts General Hospital doctors say their automated pulmonary x-ray severity-scoring algorithm can help radiologists optimize pandemic workflows and manage critical resources, such as ventilators.

The original software first received FDA clearance back in 2018. This updated version, Caption Health has said, is easier for clinicians to use. 

Nearly 90% of executives leading medical-technology companies see emerging technologies as a top challenge. And they’re struggling to apply these advances not only to their product and service lines but also to their own business operations.

There’s good news and bad news from the COVID-19 beat. For the bad news, look anywhere news is disseminated. For the good, start with this compact but formidable roundup.