Johns Hopkins Bayview Medical Center is using smartphone technology to improve patient safety and enhance patient experience.
It must learn to find the “known unknown” — for instance, patterns in texture in scans that may be invisible to the human eye but indicate an early abnormality in the pancreas.
Researchers tested technologies and traditional methods to see which ones best identified medication nonadherence.
A system that recognizes early signs of sepsis and alerts clinicians is being integrated into the electronic medical record systems of Johns Hopkins hospitals.
The glow could someday help us use cancer drugs more efficiently.
A computer program designed by Johns Hopkins researchers shows promise in reducing a type of spinal surgery error in a small pilot clinical study.
McGuire is conducting one of only a handful of virtual reality (VR) studies to understand how adolescents develop and rid themselves of fear — key aspects underlying the emergence and treatment of anxiety and OCD.
Researchers view cells for hearing in 3D using virtual reality.
The clinician organized a conference, coordinated interviews and is conducting a survey to build a digital health tool.
An interdisciplinary team discovers that machine diagnostics using deep learning can match the performance of human ophthalmologists
Small pilot study shows video app to be as effective as in-person observation of medication adherence for TB patients.
The app is available on mobile, tablet or desktop, so providers can answer questions on the go.