Project Grant 2542242
- The National Science Foundation Division of Information and Intelligent Systems awarded $144,805 to Kennesaw State University Research And Service Foundation, Inc. on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops deep learning systems to improve the clinical translation and interpretability of electrocardiogram-based cardiac diagnostics. The work addresses three core challenges limiting real-world deployment of deep...
- 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...
- 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,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $400,173 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to study responsible AI guidance in visual data analysis tools. The recipient will develop a modular software testbed with AI guidance components for chart creation and visual analysis of tabular data, then design computational metrics to measure real-time reliance on AI...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the University of Georgia Research Foundation $546,167 on June 1, 2026, under the NSF Engineering CAREER program (CFDA 47.041) to develop an artificial intelligence framework for integrating multimodal biomedical data to advance personalized disease monitoring and treatment of neurological conditions. The award funds development of a unified AI-driven system combining machine...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $335,278 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop human-in-the-loop visual analytics approaches for biomedical spatial profiling data. The project will create interactive visualization tools and a biomedical atlas with embedded analytics to enable researchers to steer and interpret artificial intelligence systems...
- 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,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $354,774 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds development of computational tools that connect natural animal behavior to brain activity, with the goal of understanding how the brain supports flexible decision-making in complex environments. The work will employ inverse reinforcement learning...
- 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 Computing and Communication Foundations awarded Georgia TECH Research Corp $149,746 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate the neural correlates of complexity in data visualizations. The research bridges human-computer interaction and neuroscience to establish a theory-driven, predictive framework for understanding how specific visualization design elements foster or hinder...
The National Science Foundation Division of Computing and Communication Foundations awarded Georgia State University Research Foundation Inc. $406,481 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop medical artificial intelligence systems that are computationally efficient, robust to incomplete patient data, and interpretable to clinicians. The project will create vision-language models that learn to separate visual information extracted from medical images from textual information in clinical notes, enabling accurate automated reporting even when clinical text is missing or limited. The models will identify which image regions influenced diagnostic conclusions, supporting clinical trust and decision-making. The work will be tested on three medical applications: automated reporting for eye disease, automated reporting for chest radiographs, and prediction of cognitive and behavioral development in adolescents using data from a large-scale pediatric brain imaging study. The project includes educational components targeting high school students, undergraduate and graduate students, and practicing clinicians, with emphasis on broadening participation from groups underrepresented in computing and biomedical research. The award runs through August 31, 2031, with performance in Atlanta, Georgia.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $406.5k | 7/24/26 |