Project Grant 2205320
- 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 $317,591 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance personalized healthcare through the use of large language models (LLMs) and novel memory semiconductor devices. The project aims to develop efficient retrieval-augmented generation (RAG) techniques for LLM personalization, focusing on reducing latency and hardware overhead through algorithm-hardware...
- This $659,809 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The research team at Virginia Polytechnic Institute & State University (Virginia Tech) will implement multi-modal machine-learning algorithms leveraging data from...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $499,997 CAREER grant to the Trustees of Boston University, effective September 1, 2025 through August 31, 2030, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project develops computational methods to enhance the transparency and adjustability of artificial intelligence (AI) models used in healthcare diagnostics,...
- This $149,680 National Science Foundation project grant supports the development of technologies to improve human-human and human-machine teaming in clinical environments at Virginia Polytechnic Institute and State University from October 2022 through September 2023. Funded under the Computer and Information Science and Engineering program, the research aims to build understanding of team dynamics in intensive care units where data-powered technologies are increasingly utilized. Through...
- This $320,502 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems is for a collaborative research project titled "Knowledge Discovery from Highly Heterogeneous, Sparse and Private Data in Biomedical Informatics." The research aims to mine healthcare data to identify patients likely to develop chronic conditions like type 2 diabetes and heart failure, and to develop models for opportunistic screening, particularly for...
- This $249,250 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Over four years, researchers at the Massachusetts Institute of Technology will design multimodal hardware and algorithms to model, monitor, and generate interpretable feedback on teamwork dynamics using data from cardiac procedures. The goal is to mitigate human...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award (CFDA 47.070) of $200,000 to the Trustees of the Stevens Institute of Technology will support the development of a flexible and open-resource medical knowledge base called FORMED. The goal is to create a comprehensive, public-oriented database covering a wide range of diseases, conditions, and medications with detailed information on symptoms, causes, and treatments. The project...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $519,645 to the University of Toledo Health Science Campus Division will develop a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The project, titled "Collaborative Research: SCH: Clinical Adaptive Performance Enhancement through Human-AI Teaming (CAPE-HAT)," aims...
- The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...
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 "Semantic Clipboard" interface for clinicians to use while reviewing records and writing notes. Usage data collected through this interface will be used to develop new machine learning methods to predict and surface clinically relevant information customized for individual users and scenarios. The goal is to modernize electronic health records and help prevent missed diagnoses or treatments by enabling clinicians to more quickly find and understand key information. The project also aims to decrease physician documentation burden and burnout. Graduate students and medical fellows will gain cross-disciplinary training in human-computer interaction, machine learning, and clinical medicine.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/22/22 |