Roger Daglius Dias

Assistant Professor

Harvard Medical School

United States

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About

Roger Daglius Dias is an Assistant Professor at Harvard Medical School, USA. His research areas include cardiac surgery, cognitive load management, and the application of extended reality in medical training and space health. He has contributed significantly to the understanding of clinical performance in surgical settings and the integration of technology in medical practice through his recent articles.

Articles (13)

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2025

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2025

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (5)

Milisa Manojlovich

Professor

University of Michigan

UNITED STATES

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Francis Pagani

Otto Gago MD Professor of Cardiac Surgery

Michigan Medicine

UNITED STATES

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Thomas Doyle

Associate Professor

McMaster University

CANADA

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Donald S. Likosky

University of Michigan

UNITED STATES

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Lauren Kennedy-Metz

Assistant Professor

Roanoke College

UNITED STATES

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Roger Daglius Dias

Research Interests

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Articles (13)

Consensus on Key Attributes of Cardiac Surgeons’ Intraoperative Performance

Delivery of oxygen during cardiopulmonary bypass and associated clinical outcomes among adult cardiac surgery patients: A systematic review

The impact of a smartphone‐based cognitive aid on clinical performance during cardiac arrest simulations: A randomized controlled trial

Cognitive Load Management: An Invaluable Tool for Safe and Effective Surgical Training

Extended Reality Applications for Space Health

Temporally guided articulated hand pose tracking in surgical videos

Using extended reality (XR) for medical training and real-time clinical support during deep space missions

A tool to assess nontechnical skills of perfusionists in the cardiac operating room

Crew Autonomy During Simulated Medical Event Management on Long Duration Space Exploration Missions

Using machine learning to predict perfusionists’ critical decision-making during cardiac surgery

Team emergency assessment measure (TEAM) of non-technical skills: The Brazilian Portuguese version of the TEAM tool

A Coding Framework for Usability Evaluation of Digital Health Technologies

Commentary: Nontechnical skills redux

Collaborators (5)

Milisa Manojlovich

Francis Pagani

Thomas Doyle

Donald S. Likosky

Lauren Kennedy-Metz

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