Evidence map›Paper›PMID 42412286›Full record

ArticleMedical & biological engineering & computing2026

Robot-assisted laser osteotomy system based on dose-effect model-guided feedforward control.

Zeng Kuang, Yanping Lin, Shiqi Peng, Yinwei Li, Huifang Zhou

Abstract read
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In one paragraph

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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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

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

5 authors.

Zeng KuangState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yanping LinState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. yanping_lin@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-6260-7666
Shiqi PengState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yinwei LiShanghai Ninth Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200011, China.
Huifang ZhouShanghai Ninth Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200011, China. fangzzfang@sjtu.edu.cn.

Funding

Shanghai Municipal Hospital Development Center SHDC2020CR3051B
6 · The paper itself

Abstract

This study aimed to develop and evaluate a robot-assisted laser osteotomy system that regulates both ablation trajectory and ablation depth through dose-effect model-guided feedforward planning. A Ho:YAG laser delivery and scanning module was integrated with a multi-degree-of-freedom robotic platform, optical navigation, and layered osteotomy planning. Ex vivo porcine femur experiments were performed to establish tissue-specific dose-effect relationship models for cortical and cancellous bone under dynamic scanning conditions. The established models were incorporated into the planning layer to determine the number of ablation layers, scan passes, laser parameters, and robotic scanning trajectories before execution. The system was validated on ex vivo porcine mandible specimens using multiple curved osteotomy paths designed from preoperative CT-based three-dimensional models. Quantitative comparison between the planned and executed ablation geometries showed a mean positional error of 0.85 ± 0.50 mm, a mean angular error of 2.96[Formula: see text] ± 1.85[Formula: see text], and a mean ablation depth error of 0.51 ± 0.50 mm. These results indicate that the proposed feedforward planning strategy can provide predictable trajectory execution and ablation-depth regulation without requiring continuous real-time depth feedback during execution. The proposed system provides an engineering basis for sensing-constrained robot-assisted laser osteotomy, while further validation is required to improve model generalizability and assess its clinical applicability in more complex surgical scenarios.

Indexed as

Laser TherapyOsteotomyRobotic Surgical ProceduresAnimalsFemurSwineAblation depth predictionDose–effect modelFeedforward controlHoOsteotomy planningRobot-assisted laser osteotomySurgical roboticsYAG laser

Identifiers

PMID42412286

What OpenQuestion holds

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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.