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 $1,199,083 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU) to develop an AI-driven intervention system that uses multimodal sensing from a smartwatch to guide post-operative patients through recovery procedures. The system aims to help patients manage their recovery, including maintaining appropriate activity levels, pain management, and wound care, through...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) awarded a $1,215,099 project grant to Carnegie Mellon University to develop an end-to-end artificial intelligence (AI) system for healthcare applications. The project, titled "Multimodal Interactive Generalist Health AI (MAGENTA)", aims to advance the integration of healthcare AI into clinical practice by enabling multimodal analysis of electronic health...
This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...
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,...
Case Western Reserve University was awarded a three-year, $350,773 project grant from the National Science Foundation under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant aims to advance understanding of the diffusion of artificial intelligence innovation through an "innovation ecological" approach. Over the grant period spanning October 2021 through September 2024, the university will analyze how AI technologies spread across economic sectors and social...
This Project Grant award of $125,133 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative effort between Tennessee Technological University, the University of Tennessee Knoxville, Meharry Medical College, and Vanderbilt University. The project aims to advance the use of artificial intelligence (AI) and machine learning (ML) in medical research and healthcare delivery through a three-part workshop...
This $347,570 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports a comprehensive research initiative at Emory University to advance the integration of knowledge graphs and large language models for healthcare applications. The key products and services to be delivered include: Developing novel methods to construct comprehensive healthcare knowledge graphs by unifying existing sources,...
Carnegie Mellon University was awarded a $360,000 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this award, Carnegie Mellon University will conduct collaborative research on trustworthy and explainable...
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...