Current

2023-2024 An Augmented Reality (AR) Smart Decision Support System to Advance Trauma Care at the Point of Injury BWH, Stepping Strong Innovator Awards PI (BWH Direct Cost: $ 100,000) The goal of this project is to develop an AR-based smart decision support system to support clinicians at the point of injury in online and offline modes.

2019-2024 Novel Assessments of Technical and Non-Technical Cardiac Surgery Quality NIH/ NHLBI(R01) – HL146619-01 Co-I (PI: Steven Yule) This project goal is to apply artificial intelligence, machine learning and computer vision techniques to develop automated and objective metrics of technical and non-technical performance in cardiac surgery.

2020-2024 A Novel Cognition-based Guidance System to Improve Surgical Safety NIH/NHLBI (R01) – HL126896-04A1 Co-I (PI: Dr. Roger Dias) The goal of this project is to develop a cognition-based guidance system for the operating room to support individual and team activities via dynamically-updated automated guidance that are responsive to the details of the on-going surgical process, to the patient’s current clinical, and to cognitive workload demands, thereby, substantially reducing errors in surgery and improving patient safety.

2021-2025 Robot-assisted Perfusion System to Improve Patient Safety in the Cardiac Operating Room NIH / NHLBI – R56 HL1574570 Co-I (PI/PDs: Roger Dias and Matthew Gombolay (Georgia Tech)) The goal of this project is to develop and gather initial validity evidence of a proof-of-concept for a Robot-Assisted Perfusion System (RAPS) that can be integrated into the cardiac surgery workflow as a non-human teammate. The RAPS will support the perfusion team in a way that perfusionists will still keep control of the perfusion system (i.e. human-in-the-loop approach), but cognitively supported by the RAPS

2022-2023 Development of enhanced simulation model with biometric cognitive load measurements for more efficient en-route care training. DoD – DHA/Air Force Co-I (BWH Direct Cost: $69,640) The goal of this proposal is to adapt and validate multimodal individual cognitive load measurements and nontechnical team performance assessments to provide data describing decision-making capacity and team vulnerabilities in en-route critical care ( ERCC) simulated mission environments.

2022-2025 A Robotic-assisted Perfusion system to Improve Patient Safety in the Cardiac Operating Room NIH/NHLBI (R01) Co-I (BWH Direct Cost: $1,070,168) The goal of this project is to develop an AI-based robotic system named robot-assisted perfusion system (RAPS) to support the cardiac surgery team during cardiopulmonary bypass by capturing multi-source information in the operating room in real-time and providing evidence-based recommendations for decision-making.