The BMEII will focus on three research areas:

Artificial Intelligence in Advanced Imaging


Investigators at the BMEII will create new computational tools and algorithms to accelerate and improve the way radiologists generate, interpret, and deploy clinical imaging technologies to improve the speed and accuracy of diagnosis. They will build upon the significant successes of Mount Sinai researchers who have already developed radiology augmentation technologies that can rapidly triage the severity of neurologic injuries, accurately characterize the type of cancer a patient may have, and identify the early presence of coronary disease before it was thought to be possible. Another goal will be to streamline the workflow of radiologists, giving clinicians the freedom to focus on the most complex cases. These advancements will lead to earlier detection of a wide range of diseases.

Next Generation Medical Technologies

This research area will focus on developing new medical devices to improve patient outcomes. Since the BMEII will be fully integrated into the Mount Sinai Health System, it can draw from the interdisciplinary fields of engineering and daily clinical practice. As such, the BMEI Institute is uniquely positioned to ensure a needs-based approach to medical devices, where technology developments will be deeply rooted in our desire to improve patient outcomes.

For example, wearable technologies based on smart sensors may alert patients with heart disease to blood pressure or cholesterol level changes so they can avoid a potential cardiac event, or they may alert patients with post-traumatic stress disorder that their stress levels are extraordinarily high

The BMEII also aims to advance robotic surgery by developing more portable, flexible, and miniaturized robotic devices that can be used to improve treatments for many conditions in areas such as cardiology, cancer, orthopedics, and interventional radiology.

Virtual, Augmented, and Extended Reality (VR/AR/XR)

This research area in computer vision will focus on the unexplored use of virtual, augmented, and extended reality digital technologies in several areas of medicine. VR, AR, and XR technologies are poised to significantly improve the way we educate and train future generations of researchers and physicians, and how we understand patient-specific disease processes, treat pain and anxiety, and build personalized mechanisms of engagement between doctors and patients. For example, advanced image acquisition, analysis, and artificial intelligence will be leveraged to build patient-specific disease process models in order to help surgeons better plan for surgery, guide their work during surgery, analyze results, and drive robotic interventions. These models can also be used to communicate the course of care with patients, which has already been demonstrated in state-of-the-art work within the Department of Neurosurgery and other departments at Mount Sinai.

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