Project Grant R42HL117397

Federal Project Grant Award Summary The National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance program (CFDA 93.879), awarded Massachusetts General Hospital $446,800 on September 27, 2025, to enhance the Open Health Imaging Foundation (OHIF) Viewer and its underlying Cornerstone3D libraries. The project, scheduled for completion by August 31, 2027, will strengthen the open-source, zero-footprint web-based imaging platform used in cancer research and...

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...

The National Institute of Biomedical Imaging and Bioengineering awarded $414,079 to the University of North Carolina at Chapel Hill on June 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286, R21 mechanism) to develop factual medical large vision-language models for radiology that reduce hallucinations in AI-generated medical image analyses. The project addresses hallucinations in medical large vision-language models...

The National Science Foundation awarded Neuraltrak, Inc. a $1.25 million cooperative agreement on June 15, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop AI-powered methods for generating high-quality three-dimensional computed tomography images from limited-angle X-ray data acquired by standard mobile surgical imaging systems. The project addresses a clinical gap: conventional mobile X-ray systems produce primarily two-dimensional images because...

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...

The National Institute of General Medical Sciences awarded Mediacombo Inc. $784,860 on September 12, 2025, under the Biomedical Research and Research Training program (CFDA 93.859) to develop a virtual reality platform that delivers visual thinking strategies training to health professions students. The platform expands access to visual thinking and learning strategies (VTS) methodology, traditionally delivered in art museum gallery settings, to students regardless of geographic proximity 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,...

The National Eye Institute awarded Biolight Engineering LLC $906,443 on July 1, 2026, under the Vision Research program (CFDA 93.867) to develop and validate PedCAM, an ultra-widefield, nonmydriatic pediatric fundus camera for retinopathy of prematurity (ROP) screening and pediatric retinal disease diagnosis. Biolight will finalize and fabricate five minimal viable product PedCAM systems incorporating pupil-matching control, adjustable illumination, autofocusing, and high dynamic range...

This three-year, $651,130 National Science Foundation Project Grant will support the development of Pathoradi, an interactive web server for artificial intelligence-assisted radiologic-pathologic image analysis, correlation and visualization at Howard University. The server aims to address current challenges in comparing radiologic and pathologic images through three components: deep learning algorithms for quantifying cell morphological phenotypes in whole brain sections, a graphical and...

The National Institute of Biomedical Imaging and Bioengineering awarded the University of Idaho $139,208 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop and validate an AI-enhanced multimodal conversational virtual patient system for medical education. The project will create an interactive training platform that integrates medical imaging with clinical dialogue using large language models and...