Evidence map›Paper›PMID 42373909›Full record

ArticleMedical & biological engineering & computing2026

A robot-assisted eye positioning method with high precision and repeatability for ocular particle therapy: mechanical and geometric assessment.

Dequan Shi, Kundong Wang, Yinxiangzi Sheng, Xue Ming, Yuze Yang

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Article in Medical & biological engineering & computing, 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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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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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Dequan ShiSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China.
Kundong WangSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China. kdwang@sjtu.edu.cn.
Yinxiangzi ShengDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, 201315, China.
Xue MingDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, 201315, China.
Yuze YangDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, 201315, China.

Funding

Shanghai Municipal Health Commission 20214Y0026Shanghai Pujiang Program 23PJ1411100
6 · The paper itself

Abstract

Noninvasive ocular particle therapy requires precise eye positioning. While static guidance systems lack gaze flexibility, existing dynamic robot-assisted systems are limited by severe workflow disruptions in shared clinical environments and a lack of kinematic occlusion models to guarantee safety. To overcome these limitations, an eye positioning and monitoring system (EPMS) was developed. A gaze range analysis algorithm and an occlusion zone analytical algorithm for the beam path and cameras were proposed. Furthermore, a mechanical reproducibility assessment quantified the system's performance under busy preoperative disruptions, including powering off/reconnecting and uninstalling/reinstalling. The EPMS mechanical guidance range reached 360° azimuth and 60.1° maximum polar, while identifying specific exclusion zones. Stability tests demonstrated cumulative workflow errors were always ≤ 0.22 mm and 0.01° for the guidance module, and ≤ 0.20 mm and 0.1° for the monitoring module. Corresponding eyeball rotation deviations were 0.25° (SD 0.13°) in polar and 0.09° (SD 0.07°) in azimuth. The EPMS demonstrates robust reproducibility, validating its adaptability to conventional radiotherapy environments without requiring dedicated ophthalmology treatment rooms.

Indexed as

EyeRoboticsAlgorithmsHumansReproducibility of ResultsAssessmentEye positioningOcular particle therapyRobot

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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.