Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Researchers have created a wearable sensor printed on microbial nanocellulose, a natural polymer.
Although true “cyborgs” — part human, part robotic beings — are science fiction, researchers are taking steps toward integrating electronics with the body.
This is the first known time that AI has used causation instead of correlations to support doctors with diagnosis in simulated cases.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Transforming how common health conditions are diagnosed using point-of-care and wearable bio diagnostic devices is the goal of a new University of South Australia project.
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.