Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
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Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
Researchers from Johns Hopkins Medicine show that wearable activity trackers are a reliable tool for predicting death risk in older adults.
Researchers have implanted electrodes in brain of a person who is mostly paralyzed to enable him to have some “mind control” of motorized prosthetic arms.
Carbon dioxide-based cancer tissue-freezing approach may help more breast cancer patients in lower income countries, animal studies show.
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.
Electronic ‘skin’ will enable amputees to perceive through prosthetic fingertips.
By combining high-tech 3D printing technology with kickball and pieces of chicken breast, surgeons have devised an innovative way to “rehearse” complex minimally invasive fetal surgeries.