Evidence map›Paper›PMID 42599351›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

ARport: an augmented reality system for markerless image-guided port placement in robotic surgery.

Zheng Han, Zixin Yang, Yonghao Long, Lin Zhang, Peter Kazanzides, Qi Dou

Abstract read
In one paragraph

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.

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

6 authors.

Zheng Han *Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, HKSAR, China.
Zixin Yang *Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, HKSAR, China.
Yonghao LongDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, HKSAR, China.
Lin ZhangCornerstone Robotics Ltd., Hong Kong Science Park, Shatin, New Territories, HKSAR, China.
Peter KazanzidesDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Qi DouDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, HKSAR, China. qidou@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-3416-9950

Funding

Hong Kong Innovation and Technology Fund Project No. GHP/167/22SZ
6 · The paper itself

Abstract

purposePrecise port placement is a critical step in robot-assisted surgery, where port configuration influences both visual access to the operative field and instrument maneuverability. To bridge the gap between preoperative planning and intraoperative execution, we present ARport, an augmented reality (AR) system that automatically maps pre-planned trocar layouts onto the patient's body surface , providing intuitive spatial guidance during surgical preparation.

methodsARport, implemented on an optical see-through head-mounted display (OST-HMD), operates without any external sensors or markers, simplifying setup and enhancing workflow integration. It reconstructs the operative scene from RGB, depth, and pose data captured by the OST-HMD, extracts the patient's body surface using a foundation model, and performs surface-based markerless registration to align preoperative anatomical models to the extracted patient's body surface, enabling in situ visualization of planned trocar layouts. A demonstration video illustrating the overall workflow is available online.

resultsIn full-scale human phantom experiments, ARport accurately overlaid pre-planned trocar sites onto the physical phantom, achieving consistent spatial correspondence between virtual plans and real anatomy.

conclusionARport provides a fully marker-free and hardware-minimal solution for visualizing preoperative trocar plans directly on the patient's body surface. The system facilitates efficient intraoperative setup and demonstrates potential for seamless integration into routine clinical workflows.

Indexed as

Augmented RealityRobotic Surgical ProceduresSurgery, Computer-AssistedEquipment DesignHumansImaging, Three-DimensionalLaparoscopyPhantoms, ImagingUser-Computer InterfaceAugmented realityMarkerless registrationPort placementRobotic surgerySurgical guidance

Identifiers

PMID42599351
PMCPMC13553715

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.