This Project Grant award of $709,358, funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), supports the development and validation of an artificial intelligence (AI) surgical coaching system to enhance surgical performance and patient outcomes during urologic endoscopic procedures. The project aims to create machine learning models that can analyze...
This federal Project Grant award for $294,729, issued by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, aims to develop an intelligent, versatile, and compact telerobot system with haptic feedback and physics-informed simulation capabilities to enhance the safety and effectiveness of neurovascular interventions. The key objectives are to: 1) create a fully actuated...
The National Science Foundation (NSF) awarded a $1,200,991 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Mindtrace Technologies, Inc. located in Pittsburgh, PA. The project, titled "A Cognitive Dashboard to Support Clinical Decision Making in Neurosurgery," aims to develop a first-of-its-kind software platform that integrates multiple data sources to enable clinicians to more effectively plan neurosurgical procedures and predict...
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 $349,683 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. Led by William Marsh Rice University, the grant supports the design of multimodal sensing hardware, data-driven algorithms, and an interface to model and computationally generate interpretable feedback and interventions improving teamwork. Researchers will develop a...
This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...
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 $300,000 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will support Trustees of Dartmouth College in developing an innovative, intelligent surgical probe to assess the presence of cancerous cells during prostate cancer removal surgery. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue in real-time, helping ensure...
The National Science Foundation awarded a $647,400 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for work on "CONTEXTUALLY INFORMED AUTONOMOUS ROBOTIC SURGERY" from March 1, 2021 through February 28, 2026. The grant funds research into developing autonomous robotic surgery techniques that are informed by contextual factors in the operating environment. The Computer and...
This Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities provides $149,913 to Clemson University under the Engineering program (CFDA 47.041) from October 1, 2022 to September 30, 2023. The funding supports a multidisciplinary team at Clemson University to understand attitudes and barriers regarding robotic-assisted surgical devices, integrate expert perspectives on challenges and opportunities for their adoption, validate a...