Evidence map›Paper›PMID 40693180›Full record

ArticleThe Hamlyn Symposium on Medical Robotics : proceedings2025

Evaluation of Large Language Models to Detect Team Mental Model Misalignments During Cardiac Surgery.

Roger D Dias, Vaibhav Unhelkar, Kenneth Shann, Allison Weinberg, Geoff Rance, Rithy Srey, Paul O'Gara, Alexander Shapeton, Jamie M Robertson, Paulo Borges and 3 more

Abstract read
PubMed Full text at PMC
In one paragraph

Article in The Hamlyn Symposium on Medical Robotics : proceedings, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Roger D DiasDepartment of Emergency Medicine, Harvard Medical School.
Vaibhav UnhelkarDepartment of Computer Science, Rice University.
Kenneth ShannDivision of Cardiac Surgery, Mass General Brigham.
Allison WeinbergDepartment of Cardiopulmonary Sciences, RUSH College of Health Sciences.
Geoff RanceCape Cod Healthcare.
Rithy SreyInvoCirc, Inc.
Paul O'GaraDivision of Cardiac Surgery, Veterans Affairs Boston Healthcare System and Medical Robotics and Computer Assisted Surgery (MRCAS) Lab.
Alexander ShapetonDivision of Cardiac Surgery, Veterans Affairs Boston Healthcare System and Medical Robotics and Computer Assisted Surgery (MRCAS) Lab.
Jamie M RobertsonDepartment of Emergency Medicine, Harvard Medical School.
Paulo BorgesDepartment of Emergency Medicine, Harvard Medical School.
Robson VerlyDepartment of Emergency Medicine, Harvard Medical School.
Sanjana MenduDivision of Cardiac Surgery, Mass General Brigham.
Marco A ZenatiDivision of Cardiac Surgery, Mass General Brigham.

Funding

Developing Standardized Intraoperative Process Models to Enhance Surgical SafetyR01HL126896 · NHLBI · HARVARD MEDICAL SCHOOL · PI ZENATI, MARCO A. · 2016 to 2023
$3.7M
Intelligent Perfusion Digital Twin to Improve Patient Safety and Quality in Cardiac SurgeryR01HL157457 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Roger Daglius Dias, Matthew Gombolay · 2022 to 2026
$3.0M
NHLBI NIH HHS R01 HL126896NHLBI NIH HHS R01 HL157457
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40693180
PMCPMC12277974

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.