If healthcare AI is to improve care and efficiency in clinical practice across medicine, its proponents in radiology must implement it in a structured manner.

In older adults at higher risk for Alzheimer's disease, one year of aerobic exercise enhanced flow in the anterior cingulate cortex and the hippocampus, according to a new study.

Understood as a virtual army in the war against COVID-19, AI has vast stockpiles of potential weaponry with which to wage many a battle. That’s the good news.

“We are very excited to have found this potent neutralizing antibody that we hope will participate in ending the COVID-19 pandemic,” said project co-lead David Veesler, PhD, with the University of Washington in Seattle.

“By examining cognitive dysfunction patterns within an individual, we can develop better risk assessment tools that will allow quick therapeutic interventions before relapses occur,” said co-investigator of the project Olusola Ajilore, MD, PhD, with the University of Illinois at Chicago.

Clinicians equipped with machine learning can, in theory, apply what works for one patient to the care of another—and another, and another—and so on.

The algorithm's sensitivity edged out that of trained radiologists at identifying signs of the disease on chest CT scans, Mount Sinai researchers explained recently.

Johns Hopkins has scored a $195,000 grant from the National Science Foundation, with its scientists now beginning the first phase of the one-year research project.