Project Grant R41LM013317

This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $625,000 to Duke University to develop an interpretable artificial intelligence framework for improving care of critically ill patients. The framework incorporates novel matching techniques known as Almost-Matching-Exactly to analyze observational data from patient treatment and emulate a randomized controlled trial. By matching each treated patient to similar untreated patients,...

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 Project Grant award from the U.S. Department of Health and Human Services' Agency for Healthcare Research and Quality (AHRQ) under the CFDA 93.226 Research on Healthcare Costs, Quality and Outcomes program is funding the development and testing of a clinical decision support (CDS) tool to improve iron deficiency screening and management for pregnant individuals at high risk of postpartum hemorrhage (PPH). Specifically, the $118,089 award will support a two-phase project at Massachusetts...

This $729,821 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development of artificial intelligence (AI) and machine learning (ML) methods for real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce health disparities that may arise from the use of CDS tools. The key products of this work include: Fair ML models trained on retrospective...

This three-year, $350,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a knowledge platform and related tools to bridge the gap between visualization research and design practice. Specifically, the Trustees of Boston College will receive funding to build a comprehensive online framework for improving access to and learning about effective visualization design principles. This framework will consolidate existing...

This $244,306 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an artificial intelligence-enabled coaching system to enhance surgical teamwork in cardiac operating rooms. Led by researchers at Brigham and Women's Hospital in Houston, Texas, the grant aims to design multimodal sensing hardware, data-driven algorithms, and an interface to monitor, assess, and improve collaboration among healthcare...

This federal Project Grant award from the Agency for Healthcare Research and Quality (AHRQ) under the Research on Healthcare Costs, Quality and Outcomes (CFDA 93.226) program provides $172,785 to the University of Rochester to develop machine learning (ML)-based clinical decision support (CDS) tools to predict future laboratory values and reduce laboratory overutilization in pediatric intensive care units (PICUs). The project, titled "ML-ROVER: Machine Learning to Reduce Laboratory Test...

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...

This Project Grant award of $779,842, funded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242), will support a multi-center, randomized clinical trial to develop a clozapine decision support tool for first-episode psychosis (FEP) patients. The award recipient, The McLean Hospital Corporation, will partner with the Cambridge Health Alliance to characterize 410 FEP patients using three biomarkers - a functional brain scan, and genetic...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $899,421 to Vanderbilt University to develop artificial intelligence (AI)-assisted technologies that support reflection-based learning in nursing simulation training. The key products delivered under this 3-year award, beginning October 1, 2024, include: A multimodal data analysis pipeline to collect and integrate learning...