Browse through all publications from the Institute of Global Health Innovation, which our Patient Safety Research Collaboration is part of. This feed includes reports and research papers from our Centre. 

Citation

BibTex format

@article{Fruet:2026:10.1109/tmrb.2026.3742591,
author = {Fruet, D and Bombieri, M and Ordali, E and Yule, S and Unhelkar, V and Leff, D and Mylonas, G and Pietrini, P and Ye, GY and Naik, R and Nollo, G and Dias, RD and Zenati, MA},
doi = {10.1109/tmrb.2026.3742591},
journal = {IEEE Trans Med Robot Bionics},
title = {Cognitive Digital Twins in Surgery: Insights from an International Multidisciplinary Workshop.},
url = {http://dx.doi.org/10.1109/tmrb.2026.3742591},
year = {2026}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A multidisciplinary workshop, 'Toward Cognitive Digital Twins in Surgery,' was held during the Hamlyn Symposium in London, UK on Friday, June 27, 2025. This work summarizes the main insights that emerged from the discussion, including the potential benefits and limitations of Cognitive Digital Twins (CogDT) in surgery. The CogDT framework is designed to capture the entire clinical system, including patients and healthcare providers. We introduce the novel concept of the Surgical Cognitive Digital Twin (S-CogDT), highlighting its potential for advancement in surgical care. Participants conceptualized S-CogDTs as potential tools for creating dynamic, individualized profiles for personalized provider training, serving as real-time early-warning indicators to mitigate cognitive overload, and optimizing organizational workflows within the surgical environment. However, the effective adoption of this technology faces significant challenges. These include the difficulty of measuring and validating dynamic cognitive states, the considerable hurdles in achieving user acceptance and trust, and critical questions surrounding data governance, privacy, and regulatory pathways. These results inform future research in this novel, multidisciplinary field by clearly showing the potential of S-CogDTs and mapping the potential challenges required for their successful implementation.
AU  - Fruet,D
AU  - Bombieri,M
AU  - Ordali,E
AU  - Yule,S
AU  - Unhelkar,V
AU  - Leff,D
AU  - Mylonas,G
AU  - Pietrini,P
AU  - Ye,GY
AU  - Naik,R
AU  - Nollo,G
AU  - Dias,RD
AU  - Zenati,MA
DO  - 10.1109/tmrb.2026.3742591
PY  - 2026///
TI  - Cognitive Digital Twins in Surgery: Insights from an International Multidisciplinary Workshop.
T2  - IEEE Trans Med Robot Bionics
UR  - http://dx.doi.org/10.1109/tmrb.2026.3742591
UR  - https://www.ncbi.nlm.nih.gov/pubmed/42974590
ER  -
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