Development of an Interactive Dashboard to Analyze Cognitive Workload of Surgical Teams During Complex Procedural Care. - Roger D. Dias; Heather M. Conboy; Jennifer M. Gabany; Lori A. Clarke; Leon J. Osterweil; George S. Avrunin; David Arney; Julian M. Goldman; Giuseppe Riccardi; Steven J. Yule; Marco A. Zenati (CogSIMA, 2018)

Cognitive Support to Promote Shared Mental Models during Safety-Critical Situations in Cardiac Surgery (Late Breaking Report). - Christopher L. Tarola; Sameer Hirji; Steven J. Yule; Jennifer M. Gabany; Alessandro Zenati; Roger D. Dias; Marco A. Zenati (CogSIMA, 2018)

Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance. - George S. Avrunin; Lori A. Clarke; Heather M. Conboy; Leon J. Osterweil; Roger D. Dias; Steven J. Yule; Julian M. Goldman; Marco A. Zenati (SEHS@ICSE, 2018)

Intelligent Interruption Management System to Enhance Safety and Performance in Complex Surgical and Robotic Procedures. - Roger D. Dias; Heather M. Conboy; Jennifer M. Gabany; Lori A. Clarke; Leon J. Osterweil; David Arney; Julian M. Goldman; Giuseppe Riccardi; George S. Avrunin; Steven J. Yule; Marco A. Zenati (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Physiological synchronization and entropy as measures of team cognitive load. - Roger D. Dias; Marco A. Zenati; Ronald H. Stevens; Jennifer M. Gabany; Steven J. Yule (J. Biomed. Informatics, 2019)

Digital Cognitive Aids to Support Adaptation of Surgical Processes to COVID-19 Protective Policies. - Heather M. Conboy; Lauren R. Kennedy-Metz; George S. Avrunin; Lori A. Clarke; Leon J. Osterweil; Roger D. Dias; Marco A. Zenati (CogSIMA, 2020)

Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (CogSIMA, 2020)

Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (HCI (48), 2020)

Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room. - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Cesare Furlanello; Marco A. Zenati (Sensors, 2020)

Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. - Sangwon Seo; Lauren R. Kennedy-Metz; Marco A. Zenati; Julie A. Shah; Roger D. Dias; Vaibhav V. Unhelkar (CogSIMA, 2021)

The Cognitive Relevance of a Formal Pre-incision Time-out in Surgery. - Lauren R. Kennedy-Metz; Roger D. Dias; Marco A. Zenati (ECCE, 2021)

Analysis of Dynamic Changes in Cognitive Workload During Cardiac Surgery Perfusionists′ Interactions With the Cardiopulmonary Bypass Pump. - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Heather M. Conboy; Miguel E. Haime; Jacquelyn A. Quin; Steven J. Yule; Marco A. Zenati (Hum. Factors, 2021)

Assessing Team Situational Awareness in the Operating Room via Computer Vision. - Roger D. Dias; Lauren R. Kennedy-Metz; Steven J. Yule; Matthew C. Gombolay; Marco A. Zenati (CogSIMA, 2022)

Association Between Operating Room Noise and Team Cognitive Workload in Cardiac Surgery. - Lauren R. Kennedy-Metz; Maria Arshanskiy; Sandra Keller; David Arney; Roger D. Dias; Marco A. Zenati (CogSIMA, 2022)

A Coding Framework for Usability Evaluation of Digital Health Technologies. - Mahdi Ebnali; Lauren R. Kennedy-Metz; Heather M. Conboy; Lori A. Clarke; Leon J. Osterweil; George S. Avrunin; Christian Miccile; Maria Arshanskiy; Annette Phillips; Marco A. Zenati; Roger D. Dias (HCI (1), 2022)

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. - Roger D. Dias; Marco A. Zenati; Geoffrey Rance; Srey Rithy; David Arney; Letian Chen; Rohan R. Paleja; Lauren R. Kennedy-Metz; Matthew C. Gombolay (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. - Roger D. Dias; Lauren R. Kennedy-Metz; Srey Rithy; Geoffrey Rance; Mahdi Ebnali; David Arney; Matthew C. Gombolay; Marco A. Zenati (IWBBIO (1), 2023)

An Open-Source, Interoperable Architecture for Generating Real-Time Surgical Team Cognitive Alerts from Heart-Rate Variability Monitoring. - David Arney; Yi Zhang 051; Lauren R. Kennedy-Metz; Roger D. Dias; Julian M. Goldman; Marco A. Zenati (Sensors, 2023)

Temporally guided articulated hand pose tracking in surgical videos. - Nathan Louis; Luowei Zhou; Steven J. Yule; Roger D. Dias; Milisa Manojlovich; Francis D. Pagani; Donald S. Likosky; Jason J. Corso (Int. J. Comput. Assist. Radiol. Surg., 2023)

Crew Autonomy During Simulated Medical Event Management on Long Duration Space Exploration Missions. - Steven J. Yule; Jamie M. Robertson; Benjamin Mormann; Douglas S. Smink; Stuart R. Lipsitz; Egide Abahuje; Lauren R. Kennedy-Metz; Sandra Park; Christian Miccile; Charles N. Pozner; Thomas E. Doyle; David M. Musson; et al. (Hum. Factors, 2023)

Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. - Lachlan Driver; Nicole M. Duggan; Chares Brower; Mahdi Ebnali; Da'Marcus Baymon; Alexei Wagner; Roger D. Dias; Anthony E. Samir; Tina Kapur; Andrew J. Goldsmith; Christopher W. Baugh (HICSS, 2024)

Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency. - Carrie Walsh; Nicole M. Duggan; Roger D. Dias; Andrew J. Goldsmith; Mahdi Ebnali; Madeline Schwid; Chanel E. Fischetti; Lachlan Driver; Joseph Stegeman; Denie Bernier; Lauren A. Selame; Phillip Plevek (HICSS, 2024)

Socratic: Enhancing Human Teamwork via AI-enabled Coaching. - Sangwon Seo; Bing Han; Rayan Ebnali Harari; Roger D. Dias; Marco A. Zenati; Eduardo Salas; Vaibhav V. Unhelkar (AAMAS, 2025)