International Journal of Medical Robotics and Computer Assisted Surgery最新文献

{"title":"Feasibility and Outcomes of a Robotic Retroperitoneal Approach to Para-Aortic Lymphadenectomy in Intermediate- and High-Risk Endometrial Cancer: A Prospective Study","authors":"Michiko Kubo-Kaneda,&nbsp;Kenta Yoshida,&nbsp;Saki Kotaka,&nbsp;Asumi Okumura,&nbsp;Tsuyoshi Mastumoto,&nbsp;Kota Okamoto,&nbsp;Eiji Kondo","doi":"10.1002/rcs.70148","DOIUrl":"10.1002/rcs.70148","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This prospective feasibility study evaluated the safety and efficacy of robotic retroperitoneal para-aortic lymphadenectomy in patients with intermediate-to high-risk endometrial cancer.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Patients with endometrial cancer who underwent robotic surgical staging at Mie University Hospital between October 2021 and May 2025 were prospectively enroled and analysed following ethics approval. Patient clinical data, intraoperative parameters, and postoperative quality of life (QOL) were collected according to a predefined protocol.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study included 18 patients with a median operative time of 411.0 min, median blood loss of 51.0 mL, and 25.5 and 24.5 resected pelvic and para-aortic lymph nodes, respectively. Para-aortic lymph node metastasis was observed in one case, and postoperative complications in two. QOL returned to baseline within 28 days postoperatively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The robotic retroperitoneal approach to para-aortic lymphadenectomy is a feasible and safe staging procedure for intermediate-to high-risk endometrial cancer, with rapid postoperative QOL recovery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>This study was registered in the Japan Registry of Clinical Trials (jRCT1042210047).</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13003377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147488908","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":"Workspace Boundary Adjustment and Dexterity Analysis for Continuum Manipulators in Teleoperated Surgery","authors":"Yongzhuo Gao,&nbsp;Dexin Cheng,&nbsp;Shihai Zhao,&nbsp;Hui Dong,&nbsp;Zhijiang Du,&nbsp;Chunjie Li,&nbsp;Zhengyang Li,&nbsp;Wei Dong","doi":"10.1002/rcs.70153","DOIUrl":"10.1002/rcs.70153","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Continuum manipulators have exceptional bending capabilities and gentle interaction with surrounding tissues; these manipulators have been widely adopted in medical applications. In single-port surgeries, the surgical field is narrow and densely populated with tissues and nerves, often extending beyond the continuum manipulator's dexterous workspace.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study proposes a control strategy designed to balance the trade-off between high dexterity and the spatial limitations of the non-dexterous workspace. This strategy employs Jacobian-based differential kinematics to compute solutions, thereby expanding the reachable workspace boundaries based on dexterity. By integrating the concept of spatial solid angles, the dexterity of the continuum manipulator within the reachable workspace is intuitively analysed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Experimental results indicate that the proposed method can effectively expand the workspace and enhance fault tolerance in spatial matching.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The system maintains high trajectory-tracking consistency and orientation continuity within the non-dexterous workspace, thereby improving the accuracy and stability of teleoperation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464319","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":"Optimising Robotic Radical Gastrectomy: A Technical Roadmap for Bipolar Forceps-Assisted Lymphadenectomy and Reconstruction","authors":"Fengyuan Li,&nbsp;Zhongyuan He,&nbsp;Weizhi Wang,&nbsp;Jie Zhou,&nbsp;Zhe Xuan,&nbsp;Linjun Wang,&nbsp;Zekuan Xu,&nbsp;Hongda Liu,&nbsp;Hao Xu","doi":"10.1002/rcs.70152","DOIUrl":"10.1002/rcs.70152","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Robotic surgeries offer technical advantages over laparoscopic surgery, including enhanced precision and ergonomics. However, optimal utilisation requires overcoming the ‘carryover effect’ of laparoscopic habits and adapting techniques to the robotic platform's unique capabilities. Here we introduce an approach regarding robotic gastrectomy, focusing on instrument selection and lymphadenectomy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This technical report synthesises our experience with robotic gastrectomy. Key innovations include: (1) preferential use of Maryland bipolar forceps for lymphadenectomy; (2) a robotic-specific lymphadenectomy sequence prioritising gravity-assisted exposure; and (3) intracorporeal hand-suturing anastomosis to minimise stapler dependence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The Maryland bipolar forceps enabled safer dissection with reduced thermal injury risk. The proposed lymphadenectomy sequence (initiating with cardia mobilisation and concluding with infrapyloric dissection) improved field consolidation and reduced instrument repositioning. Robotic suturing achieved satisfied anastomotic integrity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A deliberate transition from laparoscopic to robotic techniques optimises outcomes in the robotic era. This framework may accelerate the learning curve for novice robotic surgeons.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438290","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":"Transfer Learning-Based Stiffness Modelling of Spherical Scissor Linkage Remote-Centre-of-Motion Mechanism for Structural Optimisation","authors":"Baoyue Lu,&nbsp;Sihan Wang,&nbsp;Shuxin Wang,&nbsp;Chengcheng Cai,&nbsp;Jiatong Wang,&nbsp;Lizhi Pan","doi":"10.1002/rcs.70143","DOIUrl":"10.1002/rcs.70143","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The spherical scissor linkage remote-centre-of-motion (SSL-RCM) mechanism has multiple joints and a low stiffness, severely affecting its load-bearing capacity and motion accuracy. Accurate stiffness modelling of the SSL-RCM mechanism is key to guide its design.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This paper uses the virtual joint method to establish a stiffness model considering passive joints. Applying transfer learning, small sample finite element data is extended by fitting a large dataset of simulation models, yielding a high-accuracy stiffness model for the SSL-RCM mechanism. A multi-objective genetic algorithm considering stiffness factors is used for structural optimisation of the SSL-RCM mechanism.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Comparative results show that the stiffness model achieves a 12.2% higher fitting accuracy than the baseline model, and an SSL-RCM mechanism with improved overall performance is obtained.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The stiffness model establishes an analytical relationship between the geometric dimensions and corrected stiffness of the SSL-RCM, which can be used for structural optimisation and design guidance.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357957","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":"Autonomous Robot-Assisted Video Capture in Open Cardiac Surgery: Surgical Field Detection and Obstacle-Aware Viewpoint Planning via CHELS","authors":"Juntao Gao,&nbsp;Yueri Cai,&nbsp;Hongjia Zhang,&nbsp;Ming Gong","doi":"10.1002/rcs.70149","DOIUrl":"10.1002/rcs.70149","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Traditional surgical video recording requires professional personnel to manually adjust the camera capturing position, which leads to low recording efficiency and interference with the surgical process.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>To address these issues, this study proposes an automatic surgical video capture scheme based on an intelligent surgical video capture robot system. The method utilises the YOLO v5 algorithm and a 3D camera to identify and localise the surgical field area. Additionally, Convex Hull Edge Line Search (CHELS) algorithm is constructed to rapidly solve the optimal capturing position while avoiding obstacles. Finally, Position-Based Visual Servoing (PBVS) is applied to control the camera for precise capture of the surgical field.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>The detection model for the surgical field achieved an [email protected] of 0.962, and the average solution time of the CHELS is 0.1469s.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Automatic surgical video capture schemes can efficiently enable the intelligent and automatic recording of surgical videos.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147349804","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":"Vibration Suppression of Craniotomy Surgical Robot Based on Double Arrow Negative Poisson's Ratio Structural Clamp","authors":"Zhenzhong Liu,&nbsp;Shilei Han,&nbsp;Runfeng Zhang,&nbsp;Guobin Zhang,&nbsp;Kelong Chen","doi":"10.1002/rcs.70145","DOIUrl":"10.1002/rcs.70145","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Vibrations in craniotomy surgical robots reduce precision and safety. This study introduces a clamp with a double-arrow negative Poisson ratio structure to suppress vibrations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Finite element simulations and skull drilling experiments were conducted to evaluate the vibration reduction of the optimised clamp design compared with the original.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared with the original clamp, the double-arrow structure significantly reduced vibration during skull drilling. Specifically, the vibration frequency was reduced by 72.4% on the <i>X</i>-axis, 53.0% on the <i>Y</i>-axis, and 66.9% on the <i>Z</i>-axis. Vibration displacement was also reduced—by 59.0% on the <i>X</i>-axis and 84.5% on the <i>Y</i>-axis. Optimal damping performance was achieved with a lateral spacing of 1.2 mm and longitudinal spacing of 1.37 mm. These results confirm structure's effectiveness in improving vibration stability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The double-arrow clamp effectively reduces vibration in robotic craniotomy. It improves stability and safety through passive structural design, offering a practical alternative to active control methods.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147345598","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":"Optimization Design and Bending Hysteresis Compensation of a Flexible Ureteroscopy Robot","authors":"Zhaoyao Wang,&nbsp;Jinhua Li,&nbsp;Jianing Yan,&nbsp;Jianchang Zhao,&nbsp;Bo Guan,&nbsp;Zhisong Guo,&nbsp;Yuteng Bai,&nbsp;Jiamin Cheng,&nbsp;Wei Jiao","doi":"10.1002/rcs.70147","DOIUrl":"10.1002/rcs.70147","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidney stones. It faces challenges like a long learning curve, poor ergonomics, and low control accuracy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This paper proposes a foldable bedside flexible ureteroscopy robot. Integrating Ureteroscopic lithotripsy requirements with miniaturised design, a kinematic model of the robot was established, and the bending hysteresis at the end of the flexible ureteroscope is compensated based on the Bouc–Wen model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>xperiments evaluated the straightness of the linear motion joint and the motion accuracy of the rotary joint. The average straightness error is 1.68 mm and the rotation error is 1.46%. The bending accuracy is improved by 69.64% after hysteresis compensation. Overall performance of the robot is validated through the experiment on the kidney model and the animal experiment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The proposed robot satisfies the basic requirements of Ureteroscopic lithotripsy and shows a good performance.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319127","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":"Preliminary Multicenter Experience With the Versius Robotic Surgical System for Radical Prostatectomy: Oncological Outcomes With a Minimum 18-Month of Follow-Up","authors":"Iacopo Meneghetti,&nbsp;Francesco Dibitetto,&nbsp;Alberto Mariotti,&nbsp;Riccardo Morganti,&nbsp;Justin Collins,&nbsp;Paola Pacetti,&nbsp;Alessandra Corsini,&nbsp;Luca Mosillo,&nbsp;Simone Belli,&nbsp;Roberto Boni,&nbsp;Giulia Puccini,&nbsp;Angelo Territo,&nbsp;Muhammet Irfan Dönmez,&nbsp;Maria Chiara Sighinolfi,&nbsp;Bernardo Rocco,&nbsp;Mauro De Dominicis,&nbsp;Luca Morelli,&nbsp;Maurizio De Maria","doi":"10.1002/rcs.70144","DOIUrl":"10.1002/rcs.70144","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To report the minimum 18-month follow-up oncological results of the first preliminary descriptive series of robot-assisted radical prostatectomy (RARP) using Versius Robotic Surgical System (VRSS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Material and methods</h3>\u0000 \u0000 <p>Data of patients were collected from two Italian centres. Data on demographic variables, surgical results, pre- and postoperative prostatic specific antigen (PSA), needed for post-operative radiotherapy were extracted from the common database.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sixty patients underwent RARP performed by two surgeons at two different centres. Median follow-up time was 29.5 (IQR 23–35) months. Twenty-one (35%) patients had reported positive surgical margins and 18 (30%) presented extracapsular invasion in the final pathology report. Fifty-five (91.7%) patients had undetectable PSA (≤ 0.05 ng/mL) at 40 days follow-up after surgery. Thirteen (21.7%) patients underwent post-operative radiotherapy during our follow-up.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Results of our experience with RARP suggest that performing RARP using VRSS oncologic results are comparable with other case studies using other robotic platforms.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313372","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":"Robotic Left Atrial Appendage Occlusion: Insights From Real-World Practice","authors":"Massimo Baudo,&nbsp;Yoshiyuki Yamashita,&nbsp;Amanda Yakobitis,&nbsp;Dana Foley,&nbsp;Courtney Murray,&nbsp;Gianluca Torregrossa","doi":"10.1002/rcs.70146","DOIUrl":"10.1002/rcs.70146","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We report our initial cases of robotic left atrial appendage occlusion (LAAO) device deployment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>From June 2021 to December 2024, all consecutive patients undergoing robotic-assisted LAAO (isolated or with robotic-assisted CABG) using an epicardial clip were enroled. The study protocol was approved by the Institutional Review Board (IRB 45CFR164.512).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 28 patients were included, 22 of which underwent a concomitant CABG. Transesophageal echocardiogram confirmed excellent exclusion of the LA appendage in all but one patient. There were no postoperative strokes, myocardial infarctions, reoperation for bleeding, unplanned revascularisation, or deaths. At a median of 1.4 [0.9–1.8] years, there was 1 non-cardiac mortality (cancer) and 1 stroke. Nine (32.1%) patients were off OAC, while 21 (75.0%) were off class I-III antiarrhythmic drugs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These early results show optimal stroke prevention outcomes, considering the high-risk level of the patients. Longer follow-up is warranted to confirm these outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 2","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313339","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":"Automated Classification of Kidney Tumours Using Deep Convolutional Neural Networks","authors":"Miaolin Guo,&nbsp;Shan Lin,&nbsp;Yuxuan You,&nbsp;Leyi Wei","doi":"10.1002/rcs.70142","DOIUrl":"10.1002/rcs.70142","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Kidney tumour (KT) represents a major global health burden, being the seventh most frequently diagnosed cancer worldwide. Early detection is crucial for the success of treatment, and it typically relies on imaging techniques such as computed tomography (CT), which is time-consuming and tedious.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Towards detecting and classifying KT, we leverage two deep learning models (EfficientNetV2-B3 and ResNet50) as dual backbones for feature extraction. Additionally, our method further utilises dual efficient channel attention module (DECA) for effective cross-model feature fusion.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our method achieved excellent results, compared to alternative feature fusion strategies like cross-attention or weighted-sum. It reaches a 98.80% accuracy and a 98.28% F1 score on the CT Kidney dataset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our proposed model is a powerful network consisting of the dual backbone integration and DECA, achieving superior performance in the task of classifying renal tumour CT images.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204007","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}