Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Two surgeon tested a device that, when attached to everyday eyeglasses, can display fluoroscopic images used for surgical guidance directly to the surgeon.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
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 shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Dr. Frank Phillips, Professor and Director of the Division of Spine Surgery and the Section of Minimally Invasive Spine Surgery at Rush University Medical Center, completed the first augmented reality (AR) minimally invasive spine surgery.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
Augmented reality ultrasound has, for the first time, made it possible to superimpose topographical representations of ultrasound images directly on a patient, with the examiner seeing the sectional image in AR glasses.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.