Project Grant 2031520

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $800,000 to develop an intelligent radiology platform through human-machine cooperation. The awardee, Georgia Tech Research Corporation, will create an accurate medical image labeling tool using state-of-the-art artificial intelligence algorithms to maximize accuracy and minimize inter- and intra-reader variability among radiologists. The tool will provide...

This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project awarded to 3Fates-Xray, Inc. aims to develop a deep learning approach to enable "single-shot" X-ray phase-contrast imaging. This technology has the potential to significantly enhance the capabilities of next-generation X-ray imaging systems for applications such as aviation security, food inspection, and additive manufacturing quality control. The $274,996 award, which runs from Sep 1, 2023...

This $305,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an innovative breast cancer screening technology by Bired Imaging Inc. in Rochester, NY. The project aims to improve early detection of breast cancer, especially in women with dense breast tissue, by using infrared imaging and physics-based artificial intelligence algorithms 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 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 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), provides $980,779 to the University of Cincinnati to develop a deployable and adaptable plasmonic sensing platform for infectious disease surveillance. The objective is to create a highly sensitive, cost-effective, and accurate point-of-need diagnostic test capable of...

This $717,712 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development and evaluation of a knowledge-enhanced and interpretable radiology report generation framework using longitudinal, multimodal electronic health record data and domain knowledge. The awardee, Joan & Sanford I Weill Medical College of Cornell University, will build a...

Immersive Reality Group LLC received a $255,315 Project Grant award from the National Science Foundation on May 15, 2021 to develop an artificial intelligence-inspired computing application for detecting the early onset of pneumonia, including COVID-19. The project is being conducted under the National Science Foundation's Engineering program (CFDA #47.041), which seeks to improve quality of life and economic strength through engineering research and innovation. The grant has a performance...

This federal Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), provides $811,503 to develop an innovative radiation imaging tool. The goal is to create a quantitative, real-time isotopic spectroscopy imaging device that can visualize the spatial distribution and decay of targeted alpha therapy molecules used in cancer treatments....

The University of California, Davis received a $2,867,165 Cooperative Agreement award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award aims to develop and demonstrate a novel medical imaging system using an array of multiple X-ray sources (MXA) to improve image quality and reduce artifacts in computed tomography (CT) scanners. Key project...