{"title":"An Optical Tracking-Based Robot-Assisted System for Spinal Fixation Rod Bending","authors":"Weijun Zhang, Yaohui Huang, Xingye Li, Changsheng Li, Xingguang Duan","doi":"10.1002/rcs.70233","DOIUrl":"10.1002/rcs.70233","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>In spinal pedicle screw-rod fixation, rod contouring quality influences insertion ease, construct stability, and corrective effect. Conventional bending relies on surgeon experience and is limited by insufficient support, repeated adjustment, and inefficient workflow.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study developed a tracking-based robot-assisted system for rod bending comprising an acquisition unit, software, and actuator. The system acquires screw-head coordinates, generates target rod shape, and discretises the curve into bending positions, axial rotations, and angles.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In five in vitro experiments, five assisted-versus-manual comparisons, and twenty paired cases, planned rods showed high consistency with target curves, with mean angle, rotation, and length errors within acceptable ranges. Assisted bending improved efficiency and reduced placement errors versus manual bending; clinically, the assisted side had a shorter operation time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The system achieves a workflow from acquisition to rod formation, improving quantifiability, consistency, efficiency, and conformity, thus providing a pathway towards automated spinal rod shaping.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148957562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting","authors":"Youming Deng, Qi Jiang, Jie Wang, Jiawei Tang","doi":"10.1002/rcs.70232","DOIUrl":"10.1002/rcs.70232","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Accurate entry point localisation is critical for the safety of robot-assisted percutaneous interventions (RAPI). However, medical optical tracking systems for the traditional fiducial patch are cost-prohibitive. To address these challenges, this paper proposes a robust entry point and gesture localisation framework based on an inexpensive concentric fiducial patch and robust surface fitting.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We introduce an anisotropic iteratively reweighted least squares (IRLS) algorithm integrated with a Tukey biweight M-estimator, employing a deterministic soft-weighting strategy to effectively suppress gross outliers and smooth out high-frequency sensor noise.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Experimental results demonstrate that the proposed method has high accuracy and robustness, achieving an MAE of 1.47 mm in dynamic respiratory tracking and maintains stable detection even under 60% occlusion and low-light conditions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The results suggest that this framework provides a reliable and low-cost solution for surgical navigation in unstructured clinical environments.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148922168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jinbin Xu, Qunxiong Huang, Gengguo Deng, Yuedian Ye, Zifeng Xu, Sam Un Cheong, Weihao Liu, Xiaoming Li, Jiang Li, Zhansen Huang, Tengcheng Li, Jinming Di
{"title":"A Novel Technique of Traction Pre-Bladder Suturing in Single-Position Robot-Assisted Nephroureterectomy: Simplifying the Management of the Intramural Ureter","authors":"Jinbin Xu, Qunxiong Huang, Gengguo Deng, Yuedian Ye, Zifeng Xu, Sam Un Cheong, Weihao Liu, Xiaoming Li, Jiang Li, Zhansen Huang, Tengcheng Li, Jinming Di","doi":"10.1002/rcs.70230","DOIUrl":"10.1002/rcs.70230","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To evaluate the feasibility and preliminary perioperative outcomes of a traction pre-bladder suturing technique for managing the intramural ureter during single-position robot-assisted laparoscopic nephroureterectomy (RALNU) in patients with early-stage upper tract urothelial carcinoma (UTUC).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>10 consecutive patients with early-stage UTUC underwent RALNU (Oct 2022–Aug 2023). The technique involves four steps: mucosal tenting, a purse-string suture for containment, en bloc resection of the protruding mucosa and ureter, and reinforced double-layer bladder closure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All procedures were successful. Mean operative time was 145 min, with 38 min dedicated to the intramural segment. Mean blood loss was 35 mL, with no conversions or major complications. Pathology confirmed R0 resection of low-grade noninvasive carcinoma. Two metachronous bladder recurrences occurred during a median 12-month follow-up.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This technique appears to be a feasible approach in patients with early-stage UTUC, with the potential to minimise urine spillage and facilitate secure bladder closure during RALNU.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148922179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang
{"title":"A Thermo-Fluid-Solid Model Thermal Damage Prediction in Laser Ablation Therapy","authors":"Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang","doi":"10.1002/rcs.70227","DOIUrl":"10.1002/rcs.70227","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Precise temperature control is critical for safe, effective laser ablation in minimally invasive tumour treatment, but current models lack full understanding of multi-physics coupling during the process.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using poroelastic theory, we developed a fully coupled optical-thermal-fluid-solid model for high-fidelity temperature prediction to optimise surgical protocols. Ex vivo experiments in pork tissue with precise needle positioning and multi-point temperature measurements validated the model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Simulations showed thermal expansion in elastic tissues induces fluid backflow to the heating zone (thermal focussing). A smaller beam waist enhances optical penetration, while higher porosity reduces peak temperature and promotes diffusion. Validation yielded a maximum prediction error <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>≤</mo>\u0000 </mrow>\u0000 <annotation> ${le} $</annotation>\u0000 </semantics></math> 1.73°C.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study provides a theoretical basis for precise temperature control and tissue damage prediction in laser therapy, with particular relevance to prostate tumour treatment.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148908119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Grid Search Method Using Dynamic Step-Size Adjustment for Robot-Tissue Interaction Force Estimation","authors":"Yinzhi Zhu, Hongbing Li","doi":"10.1002/rcs.70231","DOIUrl":"10.1002/rcs.70231","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Reliable force perception is critical in robot-assisted minimally invasive surgery. However, constraints in end-effector size and complexity of the surgical environment hamper the integration of force sensors for direct feedback.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, an adaptive grid search algorithm with dynamic step-size adjustment is proposed to optimise the Hunt–Crossley (HC) model parameters for precise force estimation in robotic applications. The method continuously adjusts the step size based on real-time estimation error, thereby enabling efficient investigation of the parameter space and refined optimisation near the optimal solution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Experimental results show that the proposed method improves force estimation accuracy, with a reduction in Maximum Error (ME) of at least 25%, and reductions in Root Mean Square Error (RMSE) and Average Error (AE) of at least 30% compared to conventional fixed-step approaches.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These improvements enhance operational safety and also achieve the balance between computational efficiency and perception accuracy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148901682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ellen Van Eetvelde, Tommaso Violante, Sarah Violon, Laura Van Praet, Jaro Van Zande, Manu Verweirder, Matteo Rottoli, Jasper Stijns
{"title":"An Emergency Robotic Programme for Acute Complicated Diverticulitis: A Tertiary Centre Experience","authors":"Ellen Van Eetvelde, Tommaso Violante, Sarah Violon, Laura Van Praet, Jaro Van Zande, Manu Verweirder, Matteo Rottoli, Jasper Stijns","doi":"10.1002/rcs.70225","DOIUrl":"10.1002/rcs.70225","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Robotic-assisted surgery is now the standard for elective colorectal procedures, but its use in emergencies remains limited. This study describes the feasibility of a dedicated emergency robotic programme for acute complicated diverticulitis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We retrospectively analysed a prospectively maintained database (2020–2023). Of 31 patients undergoing robotic surgery for suspected complicated diverticulitis, 19 met inclusion criteria and underwent robotic left colectomy or Hartmann's procedure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Median total procedure time was 171 minutes (IQR 42) and median total OR time was 235 minutes (IQR 55), with no conversions to open surgery. Overall 30-day morbidity was 47.4% (9/19) and mortality was 10.5% (2/19), broadly consistent with published laparoscopic/open outcomes, though no concurrent comparator group was analysed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This initial, uncontrolled experience suggests that a dedicated emergency robotic programme for acute complicated diverticulitis is technically feasible. These hypothesis-generating results warrant confirmation through prospective, comparative studies before conclusions about safety or superiority can be drawn.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficacy and Safety Analysis of Single-Port Robotic Assisted Cholecystectomy Using a Novel Surgical Platform: A Bicentre, Single-Arm, Prospective Phase II Clinical Study","authors":"Chao Jing, Kun Liu, Guowei Zhang, Hongwei Wu, Zhe Jia, Guoxin Li, Yaping Zhao, Zhongtao Zhang, Wei Guo","doi":"10.1002/rcs.70221","DOIUrl":"https://doi.org/10.1002/rcs.70221","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Single-port robotic cholecystectomy offers minimally invasive benefits. This trial evaluated the feasibility and safety of a novel system, MicroPort SA-1000.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this dual centre, single-arm, prospective study, eligible patients underwent single-port robot-assisted cholecystectomy with MicroPort SA-1000. The primary endpoint was the completion rate, while secondary endpoints included estimated blood loss, operating time, hospital length of stay and complications.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>From June 2023 to December 2023, a total of 44 patients from two centres were enrolled, and all patients underwent single-port robot-assisted cholecystectomy without conversion. The median EBL was 10 mL (range 5–200 mL). The total operative time was 88.43 ± 25.87 minutes. The median LOS was 2.5 days (range 1–7 days). No serious surgery-related adverse events were observed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The novel single-port robot demonstrated feasibility and safety in cholecystectomy with effective triangulation, controlled operative time and reduced trauma. Larger studies are needed to validate its performance across different surgical fields.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial registration</h3>\u0000 \u0000 <p>This study was registered at https://www.chictr.org.cn/showproj.html?proj=258677 (ChiCTR2500107401)</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148849203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From Clinical Technique to Interprofessional Implementation and Intelligent Integration: A Bibliometric Analysis of the Interdisciplinary Expansion of Robot-Assisted Spine Surgery","authors":"Xiaoping Wang, Yingdi Yuan, Qifei Duan, Youhui Wu","doi":"10.1002/rcs.70229","DOIUrl":"https://doi.org/10.1002/rcs.70229","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Robot-assisted spine surgery (RASS) has expanded beyond technical accuracy towards interprofessional, perioperative, and AI-driven implementation, yet this interdisciplinary evolution has not been systematically characterised.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed 327 Web of Science Core Collection publications (2006–2026) at the intersection of RASS and perioperative, collaborative, or educational research. Analyses included co-authorship networks, keyword co-occurrence, co-citation mapping, bibliographic coupling, citation-burst detection, Callon strategic mapping, and dual-map overlays, performed in VOSviewer, CiteSpace, and Bibliometrix. Ethical approval was not required as only de-identified bibliographic records were analysed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Publications grew at a compound annual rate of 17.28% over the complete years 2006–2025 (log-linear model of annual output, <i>R</i><sup>2</sup> = 0.8762), peaking at 62 publications in 2025; the partial year 2026 (indexed only to the 4 February 2026 search date) was excluded from all growth-rate and trendline modelling. The United States (<i>n</i> = 137) and China (<i>n</i> = 57) dominated output. Dual-map analysis indicated citation flows into the (broad) Health/Nursing/Medicine domain. Keyword bursts identified artificial intelligence (strength = 3.13), deep learning (2.01), and augmented reality (1.75) as the most recent (2023–2025) research frontiers. Rehabilitation robotics remained bibliographically isolated from the surgical core.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The published literature on RASS shows a measurable thematic shift from procedural-accuracy validation towards perioperative-implementation and intelligent-integration topics; whether this bibliometric shift reflects a corresponding change in clinical practice cannot be determined from publication data. These patterns nonetheless motivate investment in cross-disciplinary consortia, AI-competency frameworks, and attention to implementation equity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148816536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery","authors":"Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Andrew Hawkins, Zhaomeng Zhang, Zachary Schrader, Homa Alemzadeh","doi":"10.1002/rcs.70220","DOIUrl":"10.1002/rcs.70220","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Robot-Assisted Minimally Invasive Surgery (RAMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a barrier. We introduce the Multimodal Data Acquisition System (MiDAS), an open-source, platform-agnostic system enabling time-synchronized, non-invasive multimodal data acquisition across surgical robotic platforms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>MiDAS integrates electromagnetic and depth camera-based hand tracking, foot pedal sensing and surgical video capture without requiring proprietary robot interfaces. We validated MiDAS on the open-source Raven-II and the clinical da Vinci Xi by collecting multimodal datasets of Peg Transfer and Hernia Repair Suturing tasks performed by surgical residents. Correlation analysis and gesture recognition experiments were conducted.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>External hand and foot sensing closely approximated internal robot kinematics and non-invasive motion signals achieved gesture recognition performance comparable to proprietary telemetry.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>MiDAS enables reproducible multimodal RAMIS data collection and is released with annotated datasets, including the first multimodal dataset of hernia repair suturing on simulation models.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13494806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148802702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robot-Assisted Antireflux Surgery in Gastro-Oesophageal Reflux Disease and Hiatal Hernia: Beyond Platform Comparison Towards Selective Clinical Value","authors":"Zequn Li, Shougen Cao, Yanbing Zhou","doi":"10.1002/rcs.70209","DOIUrl":"https://doi.org/10.1002/rcs.70209","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Contemporary gastro-oesophageal reflux disease (GERD) management increasingly relies on objective diagnosis and phenotype-based treatment selection, prompting reassessment of robot-assisted antireflux surgery beyond simple comparison with laparoscopy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A narrative review of PubMed/MEDLINE, Web of Science and guideline-based sources addressing robotic antireflux and hiatal hernia surgery, with emphasis on case complexity, reconstructive demands and recent comparative evidence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Robotic surgery appears safe and feasible, with perioperative outcomes and mid-term symptom control generally comparable to those of laparoscopy. Superiority in routine primary procedures remains unproven, whereas potential advantages appear more relevant in giant or paraoesophageal hernia (PEH) repair, revisional foregut surgery, complex mediastinal dissection and demanding hiatal reconstruction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Robot-assisted antireflux surgery should be viewed as a selectively deployed precision platform for complex foregut reconstruction rather than as a universal alternative to laparoscopy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148783804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}