Evidence map›Paper›PMID 42105184›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Perception-first digital twin for augmented reality microsurgery.

Trishia El Chemaly, Yunxin Fan, Fanrui Fu, Christoph Leuze, Bruce Daniel, Brian Hargreaves, Nikolas H Blevins

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

7 authors.

Trishia El ChemalyDepartment of Bioengineering, Stanford University, Stanford, CA, USA. tchemaly@stanford.edu.ORCID http://orcid.org/0000-0002-4234-3082
Yunxin FanDepartment of Otolaryngology, Stanford School of Medicine, Stanford, CA, USA.
Fanrui FuDepartment of Otolaryngology, Stanford School of Medicine, Stanford, CA, USA.
Christoph LeuzeDepartment of Radiology, Stanford School of Medicine, Stanford, CA, USA.
Bruce DanielDepartment of Radiology, Stanford School of Medicine, Stanford, CA, USA.
Brian HargreavesDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Nikolas H BlevinsDepartment of Otolaryngology, Stanford School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAugmented reality guidance in microsurgery is challenged by depth ambiguity, occlusion, and limited situational awareness under the operating microscope. Digital twins, dynamic virtual models of physical systems, can provide the contextual geometric data needed to mitigate these limitations. We introduce a perception-first digital twin framework that uses real-time surgical state to drive depth-, occlusion-, and proximity-aware augmented reality visualization for guidance in otologic surgery.

methodsWe formulate a hand-eye calibration refinement as a joint

resultsWe evaluated the accuracy of the optimized calibration on both calibration and evaluation datasets. The optimized workflow achieved a median translational error of

conclusionWe present a perception-first digital twin framework for augmented reality guidance in microsurgery. As surgical alteration of anatomy progresses, the digital twin is continuously updated and used to drive perception-aware augmented reality cues. Our framework enables enhanced spatial understanding while preserving visibility of the operative field.

Indexed as

Augmented realityDigital twinOtologic surgeryStereo microscope

Identifiers

PMID42105184

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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.