Using a virtual reality headset, the system, dubbed AR-VIU (augmented real-time volumetric imaging in ultrasound), creates a 3D rendering of anatomy based on 2D ultrasound images.
Armed with an advanced 7T MRI and one very committed graduate student, researchers are gaining new insight into how sleep patterns affect brain health.
CT findings that have historically been deemed as concerning relative to PE might not hold as much weight when it comes to associated risks as previously thought, new analysis suggests.
The new technique mixes MRI signals at different gradient pulse strengths and timings, offering better visualization of differences in the way water molecules move through tissues.
Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations.
Cardiologists and other physicians have always believed cardiac transthyretin amyloidosis, a progressive heart condition associated with a high mortality rate, was irreversible. Now, though, new evidence suggests that there may be hope.
Motives for the hesitancy are several—transportation concerns, informational inadequacies, historical wrongs—but effective resolutions can be quite simple.
Cedars-Sinai researchers are developing a deep-learning algorithm to personalize patient cardiac risk predictions in a patient-friendly, graphical report.
