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Augmented Reality for Neurosurgery

Augmented Reality for Neurosurgery

Unmet Need Approximately 30% of the 3.5 million epilepsy patients in the United States struggle to control seizures despite receiving existing treatments. These patients often undergo neurosurgery to help alleviate their symptoms. Surgical planning involves…

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Feature-Guided Image Fusion of Intrasurgical Optical Coherence Tomography and Digital Surgical Microscopy

Feature-Guided Image Fusion of Intrasurgical Optical Coherence Tomography and Digital Surgical Microscopy

Unmet Need Eye surgery is a high-impact intervention necessary to preserve the sight of thousands of patients, with retinal detachment surgeries alone constituting approximately 28,000 cases per year in the United States alone. Microscope-integrated optical…

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Laser surgery targeting and guidance system

Laser surgery targeting and guidance system

Unmet Need Lasers are frequently used in surgery, particularly in dermatology and oncology, to excise harmful tissue from the body. However, due to the difficulties in guiding laser surgical instruments, these tools may fail to…

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Memory-efficient deep learning algorithms for computed tomography image reconstruction

Memory-efficient deep learning algorithms for computed tomography image reconstruction

Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…

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A system and method for planning radiosurgery treatments that can better target multiple tumors simultaneously

A system and method for planning radiosurgery treatments that can better target multiple tumors simultaneously

Unmet Need Brain metastases are the most common neurological complication of primary cancer and are estimated to occur in 9-17% of all cancer patients. Radiosurgery has become a standard treatment technique for brain metastases, which…

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Pythia – building a surgical database

Pythia – building a surgical database

Value Proposition Despite major advances in surgical care, complications arise in 15% of all US surgical procedures performed, with high-risk surgeries having complications in up to 50% of cases. Targeted preoperative intervention for high-risk individuals…

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A deep machine learning algorithm to aid the diagnosis of cardiac transplant rejection

A deep machine learning algorithm to aid the diagnosis of cardiac transplant rejection

Value Proposition Transplant rejection remains a significant clinical concern following solid organ transplants, including cardiac transplantation. Although endomyocardial biopsy to diagnose cardiac allograft rejection is the gold standard of histologic grading of biopsy samples for…

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Providing surface contrast in rendering of three-dimensional images for micro-surgical applications

Providing surface contrast in rendering of three-dimensional images for micro-surgical applications

Value Proposition Recent advancements in optical coherence tomography (OCT) technology have greatly improved image quality and have facilitated the acquisition, processing, and display of three-dimensional information in real-time. As a result, this technology can now…

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