Engineers have create a robot that learns to visually predict how its partner robot will behave, displaying a glimmer of empathy.
Physicians who follow AI advice may be considered less liable for medical malpractice than is commonly thought, according to a new study of potential jury candidates in the U.S.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
An analysis highlights the realistic pros and cons of apps and other technologies that use AI to benefit older adults, including those facing dementia and cognitive decline.
Designers who use ethics to shape better companion robots will end up making better humans, too, say UNSW researchers.
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
“The digital transformation will make healthcare even more human. It will enable us to provide preventive and personalized healthcare,” says Prof. Dr. Koen Kas, Professor of Oncology at Ghent University, Belgium.
Penn State engineers say computational power is key to technology for smart bandages, health tattoos and artificial organs.
Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Researchers at the University of California San Diego develop a new non-touch technology that rapidly identifies infants and children.