Johns Hopkins researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition....... Read More
Researchers
Philippe Burlina
Todd McNutt
Related Projects
Noninvasive Localization of Epileptic Seizures
Epilepsy affects nearly 3.5 million people in the United States and is linked to a five-fold increase in mortality. While epilepsy is often controlled with medication, 20-40% of patients are medically refractory and continue to experience seizures in spite of drug therapies. The alternative for...
Photoacoustic-Guided Hysterectomy Performed with a da Vinci Surgical Robot
Approximately 600,000 hysterectomies are performed each year in the US to remove the uterus. This surgery requires cauterization and clipping of the uterine arteries, located close to and overlapping the ureter, which can cause accidental injury to the ureter. We are developing...
SpineCloud
The overall goal of the SpineCloud project is to gain understanding and predictive power of the factors underlying spine surgery outcomes – particularly the unacceptably broad variability associated with spinal fusion. Such capability will yield evidence-based insight and decision support to improve patient selection, enable more optimal surgical planning, identify...
Related News
A Johns Hopkins University-led team found a way to deliver clear pictures of anyone's internal anatomy, no matter their skin...... Read More
Johns Hopkins researchers demonstrate the promise of “augmented endoscopy,” a real-time neurosurgical guidance method that uses advanced computer vision techniques....... Read More
John C. Malone Associate Professor of Electrical and Computer Engineering Muyinatu A. Lediju Bell has received a four-year, $1.5 million...... Read More