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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…
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,…
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…
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…
Systems and methods for automatic radiation treatment plan generation and evidence-based customization for breast cancer
Unmet Need Breast cancer is now the most commonly diagnosed form of the disease, with 2.3 million new cases in 2020. Some of the most effective therapies for cancer are based around beams of radiation…
System and method for automated fluence map prediction and radiation treatment plan generation
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…
Systems and methods for automated radiation treatment planning with decision support
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…
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…
A machine learning model to assess colorectal cancer risk using whole blood samples
Unmet Need Colorectal cancer is the third most commonly occurring cancer in men and the second in women. Early detection and treatment have contributed to an overall dropping of the death rate for several decades,…
A system for automatic assessment of child mental health
Unmet Need Behavioral disorders such as autism, an anxiety disorder, an aggressiveness disorder, or attention deficient and hyperactivity disorder (ADHD) affect many people throughout the world. Research has shown that treatments for these behavioral disorders…
Software to determine lung function based on 19F MRI lung images
Duke inventors have developed a software to determine lung function based on 19F MRI lung images. This technology, called Washout, calculates quantitative functional values for anatomic regions of the lung by fitting a model to…
Deep learning segmentation of glomeruli on kidney frozen sections
Value Proposition The conventional assessment of cadaveric donor kidneys by light microscopy is known to include several limitations. First, pathologists are required to travel to the site of explant at all times of the day…