Project Grant 2442053
Award Date
6/15/25
Completion Date
5/31/30
Dollars Obligated
$345K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Stony Brook, NY 11794, USA
Similar Awards
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,...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program is for the development of an end-to-end artificial intelligence (AI) system to integrate and analyze multimodal clinical data, including time-series, text, images, and numerical data. The $1,215,099 grant, awarded on October 1, 2024, aims to enable seamless integration of AI systems into real-world clinical settings by enhancing interactions between...
The National Science Foundation awarded a $598,676 project grant to Beth Israel Deaconess Medical Center, Inc. to develop machine learning-driven user interfaces for medical record information gathering and synthesis under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award period is from September 1, 2022 to August 31, 2026. The project will advance the foundations of human-AI interaction and artificial intelligence for healthcare by developing...
This $240,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of a new class of computational frameworks that combine large language models with neural operator learning techniques to address key challenges in modeling spatiotemporal phenomena in biomedical research. The research aims to transform biological and medical studies by adapting...
This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $855,000 in funding to the Texas A&M Engineering Experiment Station (Tees) to develop a bimodal interpretable multi-instance medical image classification framework. The research aims to create a more scalable, interpretable, and robust artificial intelligence (AI) system to better analyze complex medical images, such as from multiple patient...
The National Science Foundation Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the Massachusetts Institute of Technology from September 1, 2022 to August 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of machine learning-driven user interfaces and contextual displays to help clinicians synthesize information from patient medical records. Researchers will create a novel...
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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $299,964 to enhance how computers perceive and recognize shapes in images and 3D data. The project aims to develop deep learning techniques that enable computers to focus on the critical parts of an object, disregarding background distractions, and comprehend the relationships between different object parts. This work could advance...
This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research into the "Impact of Artificial Intelligence Aids on Clinical Skill Acquisition, Atrophy and Adaptation" from October 2021 through September 2025. The award is made under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields as well as monitoring science...
This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program is providing $283,832 to The Research Foundation For The State University Of New York (Stony Brook University) to support research on how the human brain creates the perception of visual stability during naturalistic attention tasks. The project aims to test recent advances in AI-powered vision-language models by having them generate plausible visual scenes in...