Search Results (1,395)

Background/Objectives: Pulmonary typical carcinoid (TC) is a rare type of primary neuroendocrine neoplasm of the lung with indolent behavior and a good prognosis. The main treatment strategy is surgery, the extent of which is controversial given the nature of the disease. The aim of this study is to assess whether the extent of resection influences survival and recurrence in patients undergoing lung resection and lymphadenectomy for TC and to investigate negative prognostic factors for OS. Methods: A single-centre retrospective study of 15 years’ experience was conducted. Data from all patients who underwent lung resection and lymphadenectomy for TC were collected. Patients were divided into two groups: anatomical and non-anatomical resections. Perioperative and long-term oncological results were analyzed. Results: In total, 115 patients were surgically treated for TC, of whom 83 (72%) underwent anatomical resection and 32 (28%) non-anatomical resection. Univariate analyses showed that age, left lower lobe, and many comorbidities had a detrimental effect on OS, whereas on multivariate analysis, only left lower lobe location and a high Charlson–Deyo comorbidity index (CCI) were confirmed as negative prognostic factors for OS. At a median follow-up of 93 months (IQR 57-129), the OS survival curves show a slightly lower trend for non-anatomical resections (p 0.152), while no differences were found for DFS. Conclusions: The results of this study confirm that in selected patients at risk for major resections, non-anatomical resection can be used to treat TC when R0 is achievable. These data, together with evidence from the literature, highlight the importance of patient-centred care in this rare disease. Full article

Background/Objectives: While robot-assisted radical cystectomy (RARC) has shown potential benefits over open radical cystectomy (ORC), such as reduced blood loss and quicker recovery, its adoption has been limited because of its complexity and long learning curve, especially for urinary diversion. We assessed whether a RARC program with fully intracorporeal urinary diversion could be safely implemented in a hospital with no prior experience in RARC, but with expertise in ORC and other robotic surgeries. We also compared perioperative outcomes and complications between RARC and ORC during the implementation phase. Methods: This retrospective comparative study included 50 consecutive patients who underwent RARC between June 2023 and January 2025 and 50 patients previously treated with ORC. All RARC cases were performed with intracorporeal urinary diversion. A structured proctoring program guided two surgeons through a stepwise training approach by an expert RARC surgeon. Perioperative outcomes and 90-day complications were compared. Results: All RARC procedures were completed fully intracorporeally with no conversions to open surgery. Compared with ORC, RARC was associated with significantly shorter operative times (for ileal conduit diversion) and hospital stays, lower estimated blood loss, and fewer postoperative complications. There were no differences in intraoperative complications. Worst single grade ≥ 3 complications were significantly less frequent in the RARC than the ORC group (11 [11%] versus 21 [21%], p = 0.045). On multivariable analysis, the robotic approach independently predicted fewer any-grade complications (odds ratio 0.81, 95% confidence intervals 0.65–0.95, p = 0.01). Conclusions: A RARC program can be safely and effectively implemented in a previously RARC-naïve centre with existing surgical expertise. The robotic approach offers clear perioperative benefits and may represent a favourable alternative to open surgery. Full article

Spinal cord injury (SCI) is a major disability that, to this day, does not have a permanent cure. The spinal cord extends caudally through the body structure of the vertebral column and is part of the central nervous system (CNS). The spinal cord enables neural communication and motor coordination, so injuries can disrupt sensation, movement, and autonomic functions. Mechanical and traumatic damage to the spinal cord causes lesions to the nerves, resulting in the disruption of relayed messages to the extremities. Various forms of treatment for the spinal cord include functional electrical stimulation (FES), epidural electrical stimulation (EES), ‘SMART’ devices, exoskeleton and robotic systems, transcranial magnetic stimulation, and neuroprostheses using AI for the brain–computer interface. This research is going to analyse and review these current treatment methods for spinal cord injury and identify the current gaps and limitations in these, such as long-term biocompatibility, wireless adaptability, cost, regulatory barriers, and risk of surgery. Future advancements should work on implementing wireless data logging with AI algorithms to increase SCI device adaptability, as well as maintaining regulatory and health system integration. Full article

Background: Automated surgical navigation can be separated into three stages: (1) organ identification and localization, (2) identification of the organs requiring further surgery, and (3) automated planning of the operation path and steps. With its ideal visual and operating system, the da Vinci surgical system provides a promising platform for automated surgical navigation. This study focuses on the first step in automated surgical navigation by identifying organs in gynecological surgery. Methods: Due to the difficulty of collecting da Vinci gynecological endoscopy data, we propose DeepVinci, a novel end-to-end high-performance encoder–decoder network based on convolutional neural networks (CNNs) for pixel-level organ semantic segmentation. Specifically, to overcome the drawback of a limited field of view, we incorporate a densely multi-scale pyramid module and feature fusion module, which can also enhance the global context information. In addition, the system integrates an edge supervision network to refine the segmented results on the decoding side. Results: Experimental results show that DeepVinci can achieve state-of-the-art accuracy, obtaining dice similarity coefficient and mean pixel accuracy values of 0.684 and 0.700, respectively. Conclusions: The proposed DeepVinci network presents a practical and competitive semantic segmentation solution for da Vinci gynecological surgery. Full article

Surgery remains a healthcare intervention with significant risks for patients. Novel technologies can now enhance the peri-operative workflow, with artificial intelligence (AI) and extended reality (XR) to assist with pre-operative planning. This review focuses on innovation in AI, XR and imaging for hepato-biliary surgery planning. The clinical challenges in hepato-biliary surgery arise from heterogeneity of clinical presentations, the need for multiple imaging modalities and highly variable local anatomy. AI-based models have been developed for risk prediction and multi-disciplinary tumor (MDT) board meetings. The future could involve an on-demand and highly accurate AI-powered decision tool for hepato-biliary surgery, assisting the surgeon to make the most informed decision on the treatment plan, conferring the best possible outcome for individual patients. Advances in AI can also be used to automate image interpretation and 3D modelling, enabling fast and accurate 3D reconstructions of patient anatomy. Surgical navigation systems utilizing XR are already in development, showing an early signal towards improved patient outcomes when used for hepato-biliary surgery. Live visualization of hepato-biliary anatomy in the operating theatre is likely to improve operative safety and performance. The technological advances in AI and XR provide new applications in pre-operative planning with potential for patient benefit. Their use in surgical simulation could accelerate learning curves for surgeons in training. Future research must focus on standardization of AI and XR study reporting, robust databases that are ethically and data protection-compliant, and development of inter-disciplinary tools for various healthcare applications and systems. Full article

The management of adult spinal deformity (ASD) has evolved dramatically over the past century, transitioning from external bracing and in situ fusion to complex, technology-driven surgical interventions. This review traces the historical development of spinal deformity correction and highlights contemporary enabling technologies that are redefining the surgical landscape. Advances in stereoradiographic imaging now allow for precise, low-dose three-dimensional assessment of spinopelvic parameters and segmental bone density, facilitating individualized surgical planning. Robotic assistance and intraoperative navigation improve the accuracy and safety of instrumentation, while patient-specific rods and interbody implants enhance biomechanical conformity and alignment precision. Machine learning and predictive modeling tools have emerged as valuable adjuncts for risk stratification, surgical planning, and outcome forecasting. Minimally invasive deformity correction strategies, including anterior column realignment and circumferential minimally invasive surgery (cMIS), have demonstrated equivalent clinical and radiographic outcomes to traditional open surgery with reduced perioperative morbidity in select patients. Despite these advancements, complications such as proximal junctional kyphosis and failure remain prevalent. Adjunctive strategies—including ligamentous tethering, modified proximal fixation, and vertebral cement augmentation—offer promising preventive potential. Collectively, these innovations signal a paradigm shift toward precision spine surgery, characterized by data-informed decision-making, individualized construct design, and improved patient-centered outcomes in spinal deformity care. Full article

Total knee arthroplasty is an extensive orthopedic surgery for patients with severe cases of osteoarthritis. This surgery restores the range of motion in the knee joint and allows for pain-free movement. Advancements in medical techniques used in the surgical zone and implant technology, as well as the management of operations and administration for around two decades prior, have hugely improved surgical outcomes for patients. In this study, advancements in TKA were examined through exploring aspects such as robotic surgery, new implants and materials, minimally invasive surgery, and post-surgery rehabilitation. This paper entails a review of the peer-reviewed literature published between 2005 and 2025 in the PubMed and Google Scholar databases. For predictors, we incorporated clinical relevance together with methodological soundness and relation to review questions to select relevant research articles. We used the PRISMA flowchart to illustrate the article selection system in its entirety. Since robotic surgical and navigation systems have been implemented, surgical accuracy has improved, there is an increased possibility of ensuring alignment, and the use of cementless and 3D-printed implants has increased, offering durable long-term fixation features. The trend in the current literature is that minimally invasive knee surgery (MIS) techniques reduce permanent pain after surgery and length of hospital stays for patients, though the long-term impact still needs to be established. There is various evidence outlining that the enhanced recovery after surgery (ERAS) protocols show positive results in terms of functional recovery and patient satisfaction. The integration of these new advancements enhances TKA surgeries and translates them into ‘need of patient’ procedures, ensuring improved results and increases in patient satisfaction. The aim of this study was to perform a comprehensive analysis of the existing literature regarding TKA advancement studies to identify current gaps and problems. Full article

Background/Objectives: Posterior inferior cerebellar artery (PICA) aneurysms are one of the most difficult cerebrovascular lesions to treat and account for 0.5–3% of all intracranial aneurysms. They have deep anatomical locations, broad-neck configurations, high perforator density, and a close association with the brainstem, which creates considerable technical challenges for either microsurgical or endovascular treatment. Despite its acceptance as the standard of care for most posterior circulation aneurysms, PICA aneurysms are often associated with flow diversion using a coil or flow diversion due to incomplete occlusions, parent vessel compromise and high rate of recurrence. This case aims to describe the utility of microsurgical clipping as a durable and definitive option demonstrating the value of tailored surgical planning, preservation of anatomy and ancillary technologies for protecting a genuine outcome in ruptured PICA aneurysms. Methods: A 66-year-old male was evaluated for an acute subarachnoid hemorrhage from a ruptured and broad-necked fusiform left PICA aneurysm at the vertebra–PICA junction. Endovascular therapy was not an option due to morphology and the center of the recurrence; therefore, a microsurgical approach was essential. A far-lateral craniotomy with a partial C1 laminectomy was carried out for proximal vascular control, with careful dissection of the perforating arteries and precise clip application for the complete exclusion of the aneurysm whilst preserving distal PICA flow. Results: Post-operative imaging demonstrated the complete obliteration of the aneurysm with unchanged cerebrovascular flow dynamics. The patient had progressive neurological recovery with no new cranial nerve deficits or ischemic complications. Long-term follow-up demonstrated stable aneurysm exclusion and full functional independence emphasizing the sustainability of microsurgical intervention in challenging PICA aneurysms. Conclusions: This case intends to highlight the current and evolving role of microsurgical practice for treating posterior circulation aneurysms, particularly at a time when endovascular alternatives are limited by anatomy and hemodynamics. Advances in artificial intelligence cerebral aneurysm rupture prediction, high-resolution vessel wall imaging, robotic-assisted microsurgery and new generation flow-modifying implants have the potential to revolutionize treatment paradigms by embedding precision medicine principles into aneurysm management. While the discipline of cerebrovascular surgery is expanding, it can be combined together with microsurgery, endovascular technologies and computational knowledge to ensure individualized, durable, and minimally invasive treatment options for high-risk PICA aneurysms. Full article

Colorectal surgery has undergone significant advances over the past few decades, driven by the evolution of minimally invasive techniques, particularly laparoscopy and robotics. While laparoscopy is widely recognized for its short-term benefits and oncological safety, the increasing adoption of robot-assisted surgery (RAS) has generated considerable debate regarding its clinical benefits, economic implications, and overall impact on patient outcomes. This narrative review synthesizes the existing evidence, highlighting the clinical and economic aspects of RAS in colorectal surgery, while exploring areas for future research. The findings suggest that RAS offers potential technical advantages, including increased precision, three-dimensional visualization, and improved ergonomics, particularly in anatomically complex scenarios such as low rectal resections. Still, its superiority over laparoscopy remains inconclusive and current evidence is mixed. For colon cancer, meta-analyses and analyses of large cohorts suggest lower conversion rates and faster recovery with RAS, although data are mostly retrospective and lack long-term oncological endpoints. In rectal cancer, emerging evidence from randomized controlled trials demonstrates improved short-term outcomes. Additionally, the recently published three-year results of the REAL trial are the first to demonstrate enhanced oncological outcomes following RAS. However, findings remain inconsistent due to methodological heterogeneity, the absence of patient stratification, and limited data on long-term survival and cost-effectiveness. The available evidence indicates that RAS may offer advantages in selected patient populations, particularly for anatomically complex procedures. Yet, its overall utility remains uncertain. Future studies should emphasize high-quality randomized trials, stratified subgroup analyses, and standardized economic evaluations to better define the role of RAS in colorectal surgery. Full article

Sign language recognition plays a crucial role in enabling communication for deaf individuals, yet current methods face limitations such as sensitivity to lighting conditions, occlusions, and lack of adaptability in diverse environments. This study presents a wearable multi-channel tactile sensing system based on smart textiles, designed to capture subtle wrist and finger motions for static sign language recognition. The system leverages triboelectric yarns sewn into gloves and sleeves to construct a skin-conformal tactile sensor array, capable of detecting biomechanical interactions through contact and deformation. Unlike vision-based approaches, the proposed sensor platform operates independently of environmental lighting or occlusions, offering reliable performance in diverse conditions. Experimental validation on American Sign Language letter gestures demonstrates that the proposed system achieves high signal clarity after customized filtering, leading to a classification accuracy of 94.66%. Experimental results show effective recognition of complex gestures, highlighting the system’s potential for broader applications in human-computer interaction. Full article

Background: Robotic deep inferior epigastric artery perforator (DIEP) flap surgery is a technique used for autologous breast reconstruction to maintain the integrity of the rectus abdominis muscle while also utilizing robotic assistance for flap harvest. This study assesses postoperative outcomes of patients undergoing robotic DIEP flap reconstruction through the measurement of postoperative pain, narcotics use, and antiemetic usage. Methods: A retrospective analysis was performed for patients undergoing robotic DIEP flap breast reconstruction between March 2024 and March 2025. Postoperative pain scores (1–10 scale), narcotics usage (measured in oral morphine equivalents), antiemetic usage, and complications were recorded. Patient outcomes were compared to a control group of 40 patients who had undergone abdominal-based free flap breast reconstruction. Results: Overall, 14 patients underwent robotic DIEP flap breast reconstruction, representing 24 breasts. The average patient age was 56.5 (range: 30–73). Ten patients underwent bilateral breast reconstruction, and four underwent unilateral breast reconstruction. The average length of stay postoperatively was 4.86 days (±1.23 days), and the return of bowel function occurred in 1.29 days (±0.47 days). No patients experienced an unplanned return to the OR or flap failure. Average pain scores on postoperative day 1 (POD1), 2 (POD2), and 3 (POD3) were 4.0 (±0.6), 3.4 (±0.6), and 2.93 (±0.5), respectively. Average antiemetic usage totalled 1.25 doses (±0.25). Average daily OME use was 27.7 (±5.0) for POD1, 25.96 (±6.3) for POD2, and 21.23 (±7.11) for POD3. This averaged to a total hospital OME use of 74.9 (±15.7) per patient. Patients undergoing robotic DIEP flap reconstruction required a significantly lower narcotics dosage, as well as a lower antiemetic dosage, during the first three days postoperatively compared to the control abdominal free flap group. Average pain scores in the robotic DIEP flap reconstruction patient group were also significantly decreased, specifically in POD2 and POD3. Conclusions: The robotic DIEP flap offers advantages in autologous breast reconstruction compared to other abdominal free flap reconstructive methods. In this limited retrospective study, the use of the robotic DIEP flap lowers chances of flap failure and complications, while also improving narcotics use, antiemetic use, and postoperative pain. Full article

This study presents an algorithm developed by the Clinical Engineering department to automatically match surgical events recorded by robotic systems with corresponding entries in the hospital’s OR management software. At ASST Grande Ospedale Metropolitano Niguarda, robotic procedures were previously identified manually by surgical staff within the operating room management system, often leading to frequent inconsistencies and data quality issues. Two heterogeneous datasets—robot logs and hospital procedure records—were aligned using common features such as date, duration, and operating room, despite the absence of a unique identifier. The matching algorithm enables accurate identification of robotic procedures within the hospital system and facilitates integration of clinical and technical data into a unified framework. This integrated approach supports more effective data utilization for clinical engineering activities, operational monitoring, and Health Technology Assessment (HTA) analyses. The work provides a practical solution to a real-world data integration challenge and lays the foundation for future developments, including the application of machine learning to enhance matching precision. Full article

This paper examines the integration of markerless augmented reality (AR) within the da Vinci Surgical Robot, utilizing artificial intelligence (AI) for improved precision. The main challenge in creating AR for these systems is the small size (5 mm diameter) of the cameras used. Traditional camera-calibration approaches produce significant errors when used for miniature cameras. Further, the use of external markers can be obstructive and inaccurate in dynamic surgical environments. The study focuses on overcoming these limitations of traditional AR methods by employing advanced neural networks for camera calibration and real-time image processing. We demonstrate the use of a dense neural network to reduce the total projection error by directly learning the mapping of a 3D point to a 2D image plane. The results show a median error of 7 pixels (1.4 mm) when using a neural network, as compared to an error of 50 pixels (10 mm) when using a more traditional approach involving camera calibration and robot kinematics. This approach not only enhances the accuracy of AR for surgical procedures but also offers a more seamless integration with existing robotic platforms. These research findings underscore the potential of AI in revolutionizing AR applications in medical robotics and other teleoperated systems, promising efficient and safer interventions. Full article

Background: Iatrogenic nerve injuries (NIs) are an under-recognized complication of urological surgery. Though less common than vascular or organ damage, they may cause lasting sensory and motor deficits, significantly affecting patients’ quality of life. With increasing complexity in pelvic procedures, a consolidated understanding of nerve injuries is essential. Purpose: This review aims to synthesize current knowledge regarding peripheral and autonomic NIs in urological surgery, highlighting mechanisms of injury, associated procedures, preventative strategies, and treatment options. Scope: Focused on common urological interventions such as radical prostatectomy, cystectomy, pelvic lymphadenectomy, and reconstructive techniques, the review explores injuries from positional compression, traction, and intraoperative transection to their surgical management. Key Findings: The review categorizes nerve injuries into crush and transection types and details intraoperative signs and repair techniques. Skeletonization of nerves, avoidance of energy devices near neural structures, and prompt end-to-end anastomosis using 7-0 polypropylene are central to management. Adoption of novel sutureless nerve coaptation devices have also been described with promising outcomes. Early repair offers a better prognosis. New intraoperative technologies like NeuroSAFE during robotic-assisted procedures may enhance nerve preservation. Conclusion: Iatrogenic NIs, although rare, are clinically significant and often preventable. Prompt intraoperative recognition and repair are critical. Further research is warranted to develop standardized preventative protocols and enhance intraoperative nerve monitoring. A multidisciplinary approach, extended across surgical specialties, could improve outcomes and guide timely treatment of nerve injuries. Full article

Background: This study was designed to evaluate and contrast the surgical outcomes between coaxial robotic single-site myomectomy (RSSM) performed using the da Vinci Xi system and da Vinci SP system. Methods: A retrospective review was conducted on 81 women who underwent coaxial RSSM and 108 women who underwent myomectomy with the da Vinci SP system between October 2020 and January 2024. Propensity score matching was performed based on myoma count, the dominant myoma’s maximum diameter, and the myoma type according to the International Federation of Gynecology and Obstetrics (FIGO) classification. Patient characteristics and surgical outcomes were evaluated and compared between the two groups. Results: Compared to the SP group, the coaxial RSSM group showed significantly lower estimated blood loss (102.33 ± 61.01 vs. 203.98 ± 163.15 mL, p < 0.001), shorter operative time (91.22 ± 18.25 vs. 148.69 ± 45.62 min, p < 0.001), and smaller hemoglobin decrement (1.69 ± 0.93 vs. 2.85 ± 1.30, p < 0.001). However, hospital stay was shorter in the SP group than in the coaxial group (2.06 ± 0.24 vs. 4.07 ± 0.76 days, p < 0.001). There were no statistically significant differences in postoperative complications, including ileus, fever, or wound dehiscence. Additional comparisons using cases performed by four different surgeons yielded results consistent with the one-to-one surgeon comparison. Conclusions: Coaxial RSSM was associated with a shorter operative time and lower blood loss compared to SP myomectomy. A prospective study is warranted to validate and further compare the surgical outcomes of the two techniques. Full article