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Mobile app to improve doctors’ wellness
Unmet Need When compared to the general population, physicians are more likely to have symptoms of burnout and be dissatisfied with work-life balance. A recent study identified burnout in over 60% of academic neurosurgeons and…
Mask embedding for realistic high-resolution image synthesis
Value Proposition Software implementing artificial intelligence algorithms has the potential to transform many areas of medicine, including diagnostics. However, due to patient privacy concerns dataset size is limited which limits the efficacy of the neural…
Self-directed mobile coping skills training intervention
Value Proposition Patients who require hospitalization commonly suffer from psychological long-term distress. For example, as many as 66% of acute respiratory distress syndrome survivors report symptoms of depression, anxiety, and post-traumatic stress disorder at one-year…
Machine learning algorithm to predict malignancy in thyroid nodules
Value Proposition An estimated 10% of the general population in the United States are expected to develop a thyroid nodule in their lifetime. Although the vast majority of thyroid nodules are noncancerous, a small proportion…
Systems and methods to noninvasively enhance the visual acuity for patients with retinal prostheses
Unmet Need Degenerative eye diseases lead to a profound decrease in quality of life, and their incidence is on the rise. In high- and middle-income countries, age-related macular degeneration is the main and growing cause…
A method to eliminate beam hardening artifacts and to improve CT quantitative imaging ability
Unmet Need For many commercially available CT scanners, the photons emitted from the X-ray source spread within a wide and continuous distribution of energy spectrum. As the poly-energetic X-ray beam passes through matter like tissue,…
Virtual frequency-selective inversion method for fat suppression in MRI
Unmet Need In magnetic resonance imaging (MRI), data is acquired by a scanner that sends a sequence of radio frequency (RF) pulses into the tissue placed in a strong magnetic field. The magnetic field causes…
A high-speed echocardiographic system that can assess cardiac function in real-time
Unmet Need Since its inception in the mid-1970s, real-time echocardiography employing phased array principles has had a significant impact on the practice of medicine particularly in cardiology. The real-time or live nature of image formation…
Specimen Box: A tangible interaction technique for object manipulation in world-fixed virtual reality displays
Unmet Need Despite the recent rapid development of virtual reality technologies, they still remain at the early stages of adoption partly due to the technical capabilities that greatly influence user experience. For example, selection and…
Machine learning algorithm and method to aggregate and analyze hematology slide scanner image data
Unmet Need Hematology slide scanners are now widely used in hospitals across the world for blood morphology analysis. In these scanners, a thin blood smear on a microscope slide is imaged with a high-resolution digital…
Systems and methods for learning and accumulating optimal strategies for radiation treatment planning
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
System and method for training radiation treatment planners using knowledge-based models
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…