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Robotic Hysterectomy for Endometrial Cancer in Class III Obesity: 13 Years of Experience From a UK Epicentre in Guildford 机器人子宫切除术治疗III类肥胖的子宫内膜癌:来自英国吉尔福德中心的13年经验
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-08-21 DOI: 10.1002/rcs.70101
Konstantinos Palaiologos, Nana-Oye Bosompra, Alkim Arikan, Radwa Hablase, Anil Tailor, Hersha Patel, Patricia Ellis, Jayanta Chatterjee, Simon Butler-Manuel

Background

Surgery in morbidly obese patients is technically challenging; however, this can be mitigated using robotic surgery. We present 13-years’ experience of robotic hysterectomy in patients with Class-III obesity (BMI≥ 40 kg/m) and endometrial cancer.

Materials and Methods

This retrospective cohort study included 236 women with Class-III obesity who underwent robotic hysterectomy for endometrial cancer between 2010 and 2023. Key outcomes include, completion rates and peri-operative events. Comparative analysis evaluated outcomes following technological upgrades, introduction of sentinel lymph-node assessment and surgeons' learning curve. Statistical analysis used Fisher's exact test and Chi-squared for categorical variables, and ANOVA and Kruskall-Wallis tests for continuous variables.

Results

Robotic hysterectomy was completed in 91.5% (216/236), with conversion to laparotomy in 2.5% (6/236). Median inpatient admission was 1 day. Infection occurred in 6.9% (15/216). A statistically significant decrease in laparotomies from 11% (9/236) (2010–2015) to 0% (2020–2023) (p = 0.004) was observed.

Conclusion

Robotic Hysterectomy can be safely completed in majority of morbidly obese patients with endometrial cancer with minimal perioperative complications.

背景:病态肥胖患者的手术治疗在技术上具有挑战性;然而,这可以通过机器人手术来缓解。我们报告了13年来机器人子宫切除术治疗iii类肥胖(BMI≥40 kg/m)和子宫内膜癌患者的经验。材料和方法本回顾性队列研究纳入了2010年至2023年间因子宫内膜癌接受机器人子宫切除术的236名iii类肥胖妇女。主要结局包括完成率和围手术期事件。比较分析评估了技术升级、前哨淋巴结评估的引入和外科医生的学习曲线后的结果。统计分析对分类变量使用Fisher精确检验和卡方检验,对连续变量使用ANOVA和Kruskall-Wallis检验。结果机器人子宫切除术成活率为91.5%(216/236),转剖腹手术成活率为2.5%(6/236)。中位住院时间为1天。感染发生率为6.9%(15/216)。剖腹手术发生率从2010-2015年的11%(9/236)下降到2020-2023年的0% (p = 0.004),具有统计学意义。结论机器人子宫切除术可以安全地完成大多数病态肥胖子宫内膜癌患者的围手术期并发症。
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引用次数: 0
Quality and Safety Assessments of 5G-Powered Telerobotic Ultrasound System for Multi-Organ Screening: A Prospective Pilot Study 用于多器官筛查的5g远程机器人超声系统的质量和安全性评估:一项前瞻性先导研究
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-08-21 DOI: 10.1002/rcs.70099
Xue Lu, Jia Liu, Jinxiu Ju, Weiran Long, Zeping Huang, Jie Ren

Purpose

This study aims to assess the ability of a 5G-based telerobotic system to generate required images of diagnostic quality in multi-organ US examinations.

Materials and Methods

This prospective study involved participants in Shenzhen and Tibet, which are 106 and 4000 km, respectively, from the tele-radiologist's hospital. Participants underwent telerobotic US examinations from September 2020 to March 2021. A total of 127 participants were enrolled. The required image quality was evaluated by the required image adequacy, image quality, the observer reliability and the consistency of the conventional US. The safety assessments were assessed by complications and questionnaires.

Results

A total of 1790/2032 (88.1%) required images were considered adequate, and 167/2032 (8.2%) were considered adequate with some reservations. The mean image quality score was 2.83 ± 0.47 on a three-point Likert scale and did not differ between the districts or sexes. Telerobotic US detected 15 out of 18 abnormalities (83.3%) in 10 patients who underwent both telerobotic US and conventional US. There was good consistency between the two methods (k = 0.7–1.0). Furthermore, nearly 86.0% of patients accepted and would be willing to undergo another telerobotic US examination in the future. Teleradiologists accepted almost all US examinations as adequate for diagnosis and were satisfied with them.

Conclusions

The 5G-based telerobotic US(MGIUS-R3) can acquire required images with adequacy and quality in multiple organ examination procedures, with high safety and customer satisfaction in this limited group of patients. Further studies with larger samples and more centres are needed to validate this potential new technology.

本研究旨在评估基于5g的远程机器人系统在多器官超声检查中生成诊断质量所需图像的能力。从2020年9月到2021年3月,参与者接受了远程机器人美国检查。共招募了127名参与者。所需图像质量由所需图像充分性、图像质量、观察者可靠性和常规US的一致性来评估。安全性评估通过并发症和问卷进行评估。结果1790/2032张(88.1%)被认为是足够的,167/2032张(8.2%)被认为是足够的,但有一定的保留。在三分李克特量表上,平均图像质量得分为2.83±0.47,在地区和性别之间没有差异。在10例同时接受远程机器人超声检查和常规超声检查的患者中,18例异常中有15例(83.3%)被远程机器人超声检查出。两种方法的一致性较好(k = 0.7 ~ 1.0)。此外,近86.0%的患者接受并愿意在未来接受另一次远程机器人US检查。远程放射学家几乎接受了所有的美国检查,认为它们足以诊断并对此感到满意。结论基于5g的远程机器人US(MGIUS-R3)在多器官检查过程中能够获得足够的、高质量的图像,在有限的患者群体中具有较高的安全性和客户满意度。需要对更大的样本和更多的中心进行进一步的研究,以验证这种潜在的新技术。
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引用次数: 0
Modelling and Optimization of Magnetic Navigation Systems for Passive Robots in Minimally Invasive Brain Surgery 颅脑微创手术被动机器人磁导航系统建模与优化
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-08-19 DOI: 10.1002/rcs.70096
Xu Tang, Ye Xia, Xingyu Liu

Background

Passive microrobots offer great potential for minimally invasive brain interventions due to their cable-free actuation and reduced tissue damage. However, existing magnetic navigation systems (MNSs) often suffer from low energy efficiency and limited adaptability.

Methods

We propose a macro–micro collaborative MNS combining macro-scale mechanical positioning with local magnetic field modulation via coil arrays. A numerical model was developed to compare square and circular coils under different spatial configurations.

Results

A novel MNS structure employing square coils was optimized using multi-objective algorithms and evaluated using newly defined performance metrics. The optimized system achieved over 60% reduction in thermal power and produced an average magnetic field of 148.60 mT, improving both energy efficiency and dynamic performance.

Conclusions

The proposed system significantly enhances magnetic control capabilities, offering a promising solution for practical, minimally invasive brain interventions.

被动式微型机器人由于其无电缆驱动和减少组织损伤,为微创脑干预提供了巨大的潜力。然而,现有的磁导航系统存在能量效率低和适应性有限的问题。方法提出了一种宏尺度机械定位与线圈阵列局部磁场调制相结合的宏-微协同MNS。建立了方形线圈和圆形线圈在不同空间构型下的数值模型。结果采用多目标算法对一种新型方形线圈MNS结构进行了优化,并用新定义的性能指标进行了评价。优化后的系统降低了60%以上的热功率,产生了148.60 mT的平均磁场,提高了能源效率和动态性能。结论该系统显著增强了磁控制能力,为实用的微创脑干预提供了一个有前景的解决方案。
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引用次数: 0
Fully Robotic Total Colectomy in High-Risk Patients and Review of Literature 全机器人全结肠切除术在高危患者中的应用及文献综述
IF 2.1 3区 医学 Q2 SURGERY Pub Date : 2025-08-18 DOI: 10.1002/rcs.70098
Igor Monsellato, Teresa Gatto, Maria Antonietta Alagia, Federico Sangiuolo, Marco Palucci, Celeste del Basso, Martina Girardi, Irene Gandini, Gabriela Del Angel-Millan, Marco Lodin, Fabio Giannone, Gianluca Cassese, Fabrizio Panaro

Background

Robotic total colectomy is a valuable approach for managing complex colorectal diseases. Its role in high-risk patients, especially those with significant comorbidities or synchronous malignancy, remains underreported.

Methods

Two high-risk male patients with familial adenomatous polyposis (FAP), one with synchronous colon cancer, underwent fully robotic total colectomy with intracorporeal ileo-pouch-rectal anastomosis and loop ileostomy using the da Vinci Xi system in 2024. A focused review of the recent literature on robotic colectomy was also conducted.

Results

The mean age was 68 years, and mean BMI was 33.05 kg/m2. One patient had cirrhosis and obesity; the other had severe obesity and psychiatric comorbidity. Both procedures were completed without conversions or complications. Mean console time was 315 min, and mean hospital stay was 11 days.

Conclusions

Fully robotic total colectomy is feasible and safe in high-risk patients. These findings support its expanded role in minimally invasive colorectal surgery.

机器人全结肠切除术是治疗复杂结肠疾病的一种有价值的方法。它在高危患者中的作用,特别是那些有显著合并症或同步恶性肿瘤的患者,仍未得到充分报道。方法对2例高危男性家族性腺瘤性息肉病(FAP)患者,1例同时性结肠癌患者,于2024年采用da Vinci Xi系统行全机器人全结肠切除术+肠腔内回肠-袋-直肠吻合术+回肠袢造口术。重点回顾了最近关于机器人结肠切除术的文献。结果患者平均年龄68岁,平均BMI为33.05 kg/m2。一名患者有肝硬化和肥胖;另一组患有严重的肥胖和精神疾病。两项手术均完成,无转阴或并发症。平均治疗时间315 min,平均住院时间11 d。结论全机器人全结肠切除术在高危患者中是可行且安全的。这些发现支持了其在微创结直肠手术中的扩展作用。
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引用次数: 0
A Review on the Current Research Status of Key Areas in Wireless Capsule Endoscopy 无线胶囊内窥镜关键领域研究现状综述
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-29 DOI: 10.1002/rcs.70094
Guangyuan Wang, Na Liu, Huili Zhang, Rongmin Zhang, Xiaofei Sheng, Jinwei Qiao

Background

Wireless Capsule Endoscopy (WCE) is one of the most advanced medical instruments, which can be used for non-invasive imaging detection of the digestive tract by patients taking microcapsules orally. This advanced technology enables medical professionals to evaluate the abnormal situations in the gastrointestinal tract efficiently, analyse the potential problems strictly, discuss the diagnosis and evaluation comprehensively, and make well-founded treatment decisions.

Methods

A scoping review was undertaken, gathering the most relevant sources, utilising a detailed literature search of medical and academic databases including EMBASE, PubMed, Cochrane, IEEE, Google Scholar, and the Google search engine.

Results

Of the 39 articles reviewed, 12 focused on the mechanical structure of WCE, 17 on intestinal lesion detection, and 10 on intestinal 3D reconstruction techniques. We conducted a thorough analysis of the active mechanical structures specifically designed to meet physiological demands and adapt to the dynamic gastrointestinal environment. Furthermore, we performed a comprehensive comparison and evaluation of various detection algorithms, discussing the characteristics of relevant datasets that significantly impact the diagnostic performance of WCE technologies. Lastly, we reviewed the current state and progress of 3D reconstruction techniques.

Conclusions

WCE can greatly improve the defects of current gastrointestinal examination technology, reduce patient pain, and enrich medical means. However, a large number of software and hardware problems need to be solved before being applied to clinical practice.

无线胶囊内窥镜(Wireless Capsule Endoscopy, WCE)是目前最先进的医疗器械之一,患者口服微胶囊即可对消化道进行无创成像检测。这项先进的技术使医务人员能够有效地评估胃肠道的异常情况,严格分析潜在的问题,全面讨论诊断和评估,并做出有根据的治疗决策。方法进行范围审查,收集最相关的来源,利用详细的文献检索医学和学术数据库,包括EMBASE、PubMed、Cochrane、IEEE、谷歌Scholar和谷歌搜索引擎。结果39篇综述中,12篇综述WCE的力学结构,17篇综述肠道病变检测,10篇综述肠道三维重建技术。我们对专为满足生理需求和适应动态胃肠道环境而设计的主动机械结构进行了深入的分析。此外,我们对各种检测算法进行了全面的比较和评估,讨论了显著影响WCE技术诊断性能的相关数据集的特征。最后,对三维重建技术的现状和进展进行了综述。结论WCE可大大改善现有胃肠道检查技术的缺陷,减轻患者痛苦,丰富医疗手段。然而,在应用于临床实践之前,还需要解决大量的软硬件问题。
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引用次数: 0
Novel Design of a Surgical Tool Insertion Robot Using a Chebyshev Lambda Mechanism 基于Chebyshev Lambda机构的手术工具插入机器人的新设计
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-25 DOI: 10.1002/rcs.70095
SeongHyeon Won, Chanwoo Kim, Yeonho Ko, Junho Hong, Jisu Jeon, Daehie Hong

Background

Endoscopic Retrograde Cholangiopancreatography (ERCP) and Percutaneous Coronary Intervention (PCI) are minimally invasive procedures that treat diseases with minimal scarring and rapid recovery. However, catheterisation under fluoroscopy exposes medical staff to radiation, and navigating flexible guidewires through complex anatomical pathways requires precise control.

Methods

To address these challenges, we propose a novel insertion robot based on a Chebyshev lambda mechanism that makes a linear grasp path and an arc-shaped quick return path using a single motor. An integrated roll module enables continuous insertion and rotation, yielding a robot with two degrees of freedom.

Results

Experiments show robots can make sufficient insertion force for real procedures, with robot's maximum mean translational and rotational errors of 0.11 mm and 1.47°, respectively. Phantom model tests show its applicability to human anatomy.

Conclusions

The proposed robotic system demonstrated sufficient precision and force for real surgical applications, indicating its potential for clinical use in minimally invasive procedures.

内镜逆行胰胆管造影(ERCP)和经皮冠状动脉介入治疗(PCI)是一种微创手术,治疗疾病时疤痕最小,恢复迅速。然而,在透视下插管会使医务人员暴露在辐射中,并且在复杂的解剖路径中导航柔性导丝需要精确的控制。为了解决这些挑战,我们提出了一种基于Chebyshev lambda机构的新型插入机器人,该机器人使用单个电机产生线性抓取路径和弧形快速返回路径。集成的滚动模块可实现连续插入和旋转,使机器人具有两个自由度。结果实验表明,机器人可以为实际操作提供足够的插入力,机器人的最大平均平移和旋转误差分别为0.11 mm和1.47°。幻影模型试验证明了它在人体解剖学上的适用性。结论所提出的机器人系统在实际手术应用中具有足够的精度和力度,表明其在微创手术中的临床应用潜力。
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引用次数: 0
A Review on Surgical Robotic Platforms Including RMIS, AI-Based CAS Systems, Challenges, and Future Directions 综述外科机器人平台,包括RMIS,基于人工智能的CAS系统,挑战和未来方向
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-23 DOI: 10.1002/rcs.70089
Rachana S. Oza, Mayuri A. Mehta, Patrick Siarry

Background

Surgical Robotic Platforms (SRPs) have transformed the way surgeons perform Robot-Assisted Minimally Invasive Surgeries (RMIS). SRPs utilize Computer-Assisted Surgery (CAS) systems to guide surgeons.

Methods

This review paper systematically examines 31 SRPs, analysing their benefits and limitations to provide a comprehensive understanding of their role in RMIS execution. In addition, it proposes the logical classification of SRPs. Furthermore, it presents and validates the hypothesis that the use of SRPs and AI-based CAS enhances clinical outcomes by providing an accurate RMIS execution. Moreover, it proposes a logically structured classification of CAS systems.

Results

Classification of evaluation parameters identified for the comparison of SRPs is introduced. An overview of 27 video-guided CAS systems and their comparison is presented.

Conclusion

In a single place, this paper combines in-depth discussions of three contemporary areas: SRPs, RMIS, and CAS systems. It discusses the identified challenges and extensive future scope of research in three areas.

外科机器人平台(SRPs)已经改变了外科医生进行机器人辅助微创手术(RMIS)的方式。srp利用计算机辅助手术(CAS)系统来指导外科医生。方法本综述系统地研究了31个srp,分析了它们的优点和局限性,以全面了解它们在RMIS执行中的作用。此外,还提出了srp的逻辑分类。此外,它提出并验证了使用srp和基于人工智能的CAS通过提供准确的RMIS执行来提高临床结果的假设。此外,还提出了CAS系统的逻辑结构分类。结果介绍了SRPs比较评价参数的分类方法。综述了27种视频制导CAS系统,并对它们进行了比较。在一个单一的地方,本文结合了三个当代领域的深入讨论:srp, RMIS和CAS系统。它讨论了在三个领域确定的挑战和广泛的未来研究范围。
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引用次数: 0
Single-Port Robotic Resection of Recurrent Hepatocellular Carcinoma in the Right Anterior Lobe: A Case Report 单孔机器人切除右前叶复发性肝细胞癌1例
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-15 DOI: 10.1002/rcs.70092
Zesheng Jiang, Zhoubin Feng, Yuyan Xu, Jiasheng Qin, Jianan Feng, Haiyan Liu, Zhiping Wang, Luhao Chi, Wenxuan Liu, Lei Cai, Mingxin Pan

Background

We report the first case of single-port robotic liver tumour resection in a patient with recurrent hepatocellular carcinoma in the right anterior lobe of the liver.

Methods

A 65-year-old male with recurrent hepatocellular carcinoma in the right anterior lobe underwent robotic liver tumour resection using the EDGE SP1000, a single-port laparoscopic surgical robot. The procedure involved resection of a 2.7-cm-diameter tumour in segment five of the liver via adhesiolysis, partial hepatectomy, suturing, ligation, and an innovative suction technique.

Results

The surgery lasted 120 min with 30 mL of blood loss. The patient's postoperative vital signs were stable. EDGE SP1000 use for robotic liver tumour resection is safe for older patients who require minimally invasive surgery and those with severe abdominal adhesions.

Conclusion

The EDGE SP1000 has superior capabilities that enable precise manipulation within the confined space of the abdomen and allow minimally invasive single-port surgery with aesthetic benefits.

我们报告了第一例在肝右前叶复发的肝细胞癌患者进行单孔机器人肝肿瘤切除术的病例。方法对一名65岁男性右前叶肝癌复发患者,采用EDGE SP1000单孔腹腔镜手术机器人行肝肿瘤切除术。该手术包括通过粘连松解、肝部分切除术、缝合、结扎和创新的吸引技术切除肝脏第五节直径2.7 cm的肿瘤。结果手术时间120 min,出血量30 mL。患者术后生命体征稳定。EDGE SP1000用于机器人肝肿瘤切除术对于需要微创手术和严重腹腔粘连的老年患者是安全的。EDGE SP1000具有优越的功能,可以在腹部狭窄的空间内进行精确的操作,并且可以进行微创单孔手术,并且具有美观的优点。
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引用次数: 0
Robot-Assisted Laparoscopic Nephrectomy for Wilms' Tumour in Children 机器人辅助腹腔镜下儿童肾母细胞瘤切除术
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-10 DOI: 10.1002/rcs.70088
Min He, Shuangai Liu, Xiaohui Ma, Jiabin Cai, Xuan Wu, Junqin Mao, Linjie Li, Lifeng Zhang, Meidan Ying, Ziqi He, Ting Tao, Jinhu Wang, Xiang Yan

Background

The purpose of this study was to share our experiences with robot-assisted laparoscopic nephrectomy (RALN) for WT in children and to discuss the technical points and indications.

Methods

Patients with WT undergoing RALN between May 2020 and December 2022 were retrospectively analysed. Patient demographics, operative details, postoperative outcomes and follow-up were recorded.

Results

A total of 10 patients with WT who underwent RALN were enrolled in this study. The tumour diameter at operation was 70.2 ± 26.1 mm. The median tumour-abdominal volume ratio (TAVR) was 6.8% (range, 1.9%–14.8%). RALN was successfully performed in all the 10 patients without conversion, tumour rupture or operative complications. No local recurrence or death occurred during the follow-up period.

Conclusion

RALN for the treatment of WT in children appears to be safe and feasible in selected patients. Robotic surgery offers an effective alternative to laparoscopic surgery, appropriately expanding indications when performed by experienced surgeons.

本研究的目的是分享机器人辅助腹腔镜肾切除术(RALN)治疗儿童WT的经验,并讨论技术要点和适应证。方法回顾性分析2020年5月至2022年12月期间接受RALN治疗的WT患者。记录患者人口统计、手术细节、术后结果和随访情况。结果共有10例WT患者接受了RALN手术。术中肿瘤直径70.2±26.1 mm。中位肿瘤与腹部体积比(TAVR)为6.8%(范围1.9%-14.8%)。10例患者均成功行RALN手术,无移位、肿瘤破裂及手术并发症。随访期间无局部复发或死亡。结论RALN治疗儿童WT在特定患者中是安全可行的。机器人手术为腹腔镜手术提供了有效的替代方案,当有经验的外科医生进行手术时,可以适当地扩大适应症。
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引用次数: 0
Physiological Detection of Intraoperative Errors During Robot-Assisted Surgery 机器人辅助手术中术中错误的生理检测
IF 2.3 3区 医学 Q2 SURGERY Pub Date : 2025-07-09 DOI: 10.1002/rcs.70090
Christopher D'Ambrosia, Estella Y. Huang, Nicole H. Goldhaber, Henrik Christensen, Ryan C. Broderick, Lawrence G. Appelbaum

Background

This study tested the measurement of operator physiology during performance on robot-assisted surgery simulations to determine if these signals can identify errors and classify high and low performers.

Methods

57 participants performed digital simulations on da Vinci Xi system. Simulation videos, electrocardiogram (EKG), and electroencephalography (EEG) were analysed using linear mixed effects models.

Results

Relative to non-error intervals, errors elicited significant differences in EKG and EEG measures, including high-frequency power, interbeat interval and ratio of theta-to-alpha EEG power. High and low performers differed significantly in several of these measures, while classification models were accurate for the detection of errors (85.7%) and performance groups (96.3%), and using physiological signals leading up to errors, could accurately predict upcoming errors (85.7%).

Conclusions

Noninvasive recording of physiology can differentiate error from non-error intervals and performance groups, leading to the possibility that online physiology can develop into training or early warning systems.

本研究在机器人辅助手术模拟中测试了操作人员在操作过程中的生理测量,以确定这些信号是否可以识别错误并对高绩效和低绩效进行分类。方法57名受试者在达芬奇Xi系统上进行数字模拟。采用线性混合效应模型分析模拟视频、心电图(EKG)和脑电图(EEG)。结果与非误差时段相比,误差时段引起的心电图和脑电图测量值(包括高频功率、搏动间隔和θ - α脑电图功率比)存在显著差异。在这些测量中,高绩效和低绩效者在几个方面存在显著差异,而分类模型对于错误检测(85.7%)和绩效组(96.3%)的准确率较高,并且使用导致错误的生理信号可以准确预测即将发生的错误(85.7%)。结论无创生理记录可以区分误差、非误差区间和性能组,为在线生理发展为训练或预警系统提供了可能。
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International Journal of Medical Robotics and Computer Assisted Surgery
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