Many parents would let their children be read to by robots as long as the device didn’t project a little too much lifelikeness.

Because they learn as they go, machine learning models for drug discovery have to be continuously re-trained for changing conditions in drug production processes.

The system hit 88% accuracy at optimizing stimulation settings, as confirmed by brain-response patterns on neuroimaging as well as visibly observable symptom improvement in patients with Parkinson’s disease.

Bioengineers have developed a brain-computer interface that replicates the sense of touch, allowing a robotic arm and hand to not only receive command signals from the brain but also send back signals of stimulation.

The profession of nursing is something of a sleeping giant within the global village of healthcare AI, according to an interdisciplinary collaborative of healthcare workers from North America and Europe.

Biomedical and electrical engineers have invented a probe so small it must be inserted hypodermically yet can monitor vital signs and even stimulate tissue for therapeutic purposes.

The FDA has granted 510(k) clearance to a French startup for surgery software that combines AI with augmented reality and computer vision.

In a sign that AI is becoming all the more critical to healthcare, the Icahn School of Medicine at Mount Sinai has a new PhD concentration in AI and emerging technology.