Project Grant 2212911
- The National Science Foundation (NSF) awarded a $1,248,811 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Echo Mind AI Corp. in Highlands Ranch, CO. The project aims to improve musculoskeletal ultrasound (MSK-US) diagnostics through the development of AI-powered guidance technology. The goal is to democratize the use of ultrasound by enabling novice practitioners to perform accurate MSK-US evaluations at the point of care. The broader impact...
- This $423,151 CAREER grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of a new ultrasound imaging technology to enable high-resolution functional mapping of the human brain. The project aims to overcome limitations of current brain imaging methods by leveraging deep learning and ultrafast ultrasound imaging to achieve microscopic spatial resolution and deeper tissue penetration. If successful, this transformative new imaging...
- 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...
- The National Science Foundation (NSF) awarded a $840,292 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Duke University. The grant, with a project period from January 1, 2025 to September 30, 2026, aims to develop and disseminate a transformative 3D ultrasound imaging technology. This solution will enable 2D ultrasound systems to perform 3D imaging, addressing technical limitations of current 2D imaging and increasing the accessibility and...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development of an ultrasonically-enhanced swept source optical coherence tomography (UESS-OCT) system for label-free, non-invasive optical imaging inside the human body. The $425,000 award to the Regents of the University of California at Riverside will fund research to utilize ultrasound waves to focus and steer light through tissue, enabling high-resolution structural and...
- This $256,000 National Science Foundation Project Grant under the Engineering (47.041) program will support the development of an artificial intelligence-based system for analyzing multiparametric magnetic resonance imaging (MRI) scans to detect prostate lesions. The awardee, Taurus Diagnostics, Inc., will create a novel prostate cancer diagnostic platform leveraging artificial intelligence image analysis for high sensitivity and specificity. Key objectives include developing methods to...
- This $255,807 National Science Foundation project grant will fund the development of an AI-assisted software system to accelerate the labeling of medical tomographic images. Administered through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), the grant aims to extract new information from medical images and improve patient outcomes. Alienbyte Scientific Software Inc. will apply machine learning algorithms to create an adaptive system that evolves to increase the speed,...
- This $188,136 Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), supports research to develop an Artificial Intelligence-Enabled Echocardiography Interpretation System (AEIS). The principal investigator, Dr. Chieh-Ju Chao, will train with a multidisciplinary mentoring team led by Drs. Bradley Erickson and Fei-Fei Li to advance his skills in visual-linguistic models and large language models. The goal...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $375,000.00 to Carnegie Mellon University to develop the first ultrasonically-enhanced swept source optical coherence tomography (UESS-OCT) system. The project aims to utilize the interaction between ultrasound waves and light to enable non-invasive, high-resolution optical imaging of tissue structure and function over an extended depth range. The key objectives are to: (1) achieve...
- The National Science Foundation (NSF) awarded a $305,000 Small Business Innovation Research (SBIR) Phase I project grant to Segmedix, CO. under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The project aims to develop an AI-powered software system to improve the accuracy, consistency, and efficiency of prostate cancer diagnosis using magnetic resonance imaging (MRI). Specifically, the project will create a style-encoding generative adversarial network (GAN) to harmonize...
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 platform seeks to enable widespread adoption of low-cost ultrasound diagnostics in settings like doctors' offices and physical therapy clinics. This aims to improve access to musculoskeletal evaluations, with a total addressable U.S. market for the technology estimated at $1.7 billion. Work under this one-year award will further the development of mathematical models and a guidance system to achieve accurate, efficient ultrasound exams without extensive operator experience.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $20.0k | 3/29/23 | ||
| Not listed | $0 | 3/7/23 | ||
| Not listed | $250.0k | 8/16/22 |