Echo Mind Ai Corp. received a $269,978 National Science Foundation Technology, Innovation, and Partnerships Project Grant to develop artificial intelligence-enabled ultrasound imaging technology for diagnosing musculoskeletal injuries. The goal is to advance AI models that can analyze ultrasound image sequences to determine proper probe alignment and identify tendon tears, while providing guidance to aid novice practitioners in consistent image capture. Once complete, the AI-guided ultrasound...
This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,000,000.00 to Apricity Robotics Inc. to develop a tele-directed, artificially intelligent sonography robot system. The project aims to increase throughput, reduce workplace injuries, and improve access to echocardiogram diagnostic imaging by creating a robotic system capable of autonomously performing complete echocardiogram...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $840,292 to Duke University to conduct use-inspired research to overcome technical challenges and knowledge gaps in a transformative 3D ultrasound imaging technology. The goal is to make this technology commercially viable and ready for immediate transfer to the ultrasound market. The key products and services to be delivered under this award include: 1) Improving...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $200,000 to Oakland University aims to develop a novel low-cost, wireless 3D ultrasound imaging system for use in low-resource settings. The key goals are to: 1) establish quantitative tools using signal processing and artificial intelligence to extract ultrasound-derived biomarkers for improved breast cancer diagnosis, and 2) develop a robust calibration, registration, and sensor fusion protocol to...
This Cooperative Agreement award of $1,186,778 from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an affordable, compact, and silent head-only MRI scanner. The project aims to commercialize a novel MRI platform that can provide high-quality magnetic resonance brain imaging at just one-tenth the cost and footprint of traditional MRI systems. The innovative "B1 encoding" system architecture...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $423,151 to Duke University to develop a new functional brain imaging technology using super-resolution ultrasound. The goal is to create a radiation-free, low-cost system that can noninvasively map deep brain neural activities at high spatial and temporal resolutions. The award period runs from January 1, 2025 to April 30, 2028. The research plan includes three technical thrusts: 1)...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $303,089 to Bioimaginix LLC, a small business located in Morgantown, WV, to develop an AI-based diagnostic tool for early detection of Alzheimer's disease and mild cognitive impairment using MRI brain scans. The project aims to create a cost-effective platform that can assist neurologists and geriatric care providers in diagnosing Alzheimer's...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Segmedix, CO. aims to develop an AI-powered software system to improve the accuracy, consistency, and efficiency of prostate cancer diagnosis using magnetic resonance imaging (MRI). The project will create a style-encoding generative adversarial network (GAN) to harmonize prostate MRI images from different scanner vendors and field strengths, and a transformer-based...
This National Science Foundation (NSF) Cooperative Agreement award to Quantivly Inc. provides $979,657 in funding from the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The project aims to build a digital twin of radiology operations to improve the utilization of medical imaging equipment and increase access to medical imaging for the population. Key innovations include developing a generic data architecture, applying artificial intelligence techniques to learn imaging...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...