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.

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.  

The solution, Caption AI, was designed to help users “without lengthy specialized training” capture high-quality images.  

Cross-Atlantic researchers have developed two AI models that are fast and accurate at screening for COVID-19, offering hospitals potential options when lab testing is backed up or unavailable.

Asked to identify which of six fictional persons is most likely to be a terrorist, 85% of 1,500 participants in a psychology experiment selected one of the least likely suspects. And they did so specifically because they’d seen an AI robot make the ridiculous choice first.

Researchers have used AI-powered risk prediction to accurately screen the entire inpatient population of a community hospital for sepsis, enabling early treatment of the stricken.