OBJECTIVE: To explore accuracy and clinical effect of robot-assisted implantation of sacroiliac penetrating screw in orthopedic surgery for posterior pelvic ring fracture.
METHODS: The clinical data of 24 patients with posterior pelvic ring fracture treated with robot-assisted sacroiliac penetration screws from August 2022 to August 2023 were retrospectively analyzed, including 10 males and 14 females; aged from 21 to 73 years old with an average of (49.29±14.48) years old;according to Tile pelvic fractures, 13 patients were type B and 11 were type C. The effect of screw placement was evaluated according to Gras criteria based on postoperative CT scan results. At the final follow-up, fracture healing was evaluated according to Matta score, and functional recovery was evaluated by Majeed score.
RESULTS: All patients were followed up for 3 to 13 months with an average of (6.00±3.28) months. Totally 36 sacroiliac penetrating screws, 18 S1 penetrating screws, 18 S2 penetrating screws were inserted, a total of 29 were excellent and 7 good according to Gras standard. Screw adjustment times was 0.00 (0.00, 0.75) times. At the final follow-up, Matta score was excellent in 18 patients, 5 good and 1 moderate, and the maximum displacement distance was 2.55 (0.00, 5.65) mm. Majeed score was 84.37±8.38, 15 patients were excellent, 7 good and 2 moderate.
CONCLUSIONS: Robot could accurately and safely assist in the placement of sacroiliac joint screws for the treatment of posterior pelvic ring fractures, and promote postoperative functional recovery of patients.

Introduction: Robots present an opportunity to enhance healthcare delivery. Rather than targeting complete automation and nurse replacement, collaborative robots, or \"cobots\", might be designed to allow nurses to focus on high-value caregiving. While many institutions are now investing in these platforms, there is little publicly available data on how cobots are being developed, implemented, and evaluated to determine if and how they support nursing practice in the real world. Methods: This systematic review investigates the current state of cobotic technologies designed to assist nurses in hospital settings, their intended applications, and impacts on nurses and patient care. A comprehensive database search identified 28 relevant peer-reviewed articles published since 2018 which involve real studies with robotic platforms in simulated or actual clinical contexts. Results: Few cobots were explicitly designed to reduce nursing workload through administrative or logistical assistance. Most included studies were designed as patient-centered rather than nurse-centered, but included assistance for tasks like medication delivery, vital monitoring, and social interaction. Most applications emerged from India, with limited evidence from the United States despite commercial availability of nurse-assistive cobots. Robots ranged from proof-of-concept to commercially deployed systems. Discussion: This review highlights the need for further published studies on cobotic development and evaluation. A larger body of evidence is needed to recognize current limitations and pragmatic opportunities to assist nurses and patients using state-of-the-art robotics. Human-centered design can assist in discovering the right opportunities for cobotic assistance. Committed research-practice partnerships and human-centered design are needed to guide the technical development of nurse-centered cobotic solutions.

BACKGROUND: Spinal fractures in patients with ankylosing spondylitis (AS) mainly present as instability, involving all three columns of the spine, and surgical intervention is often considered necessary. However, in AS patients, the significant alterations in bony structure and anatomy result in a lack of identifiable landmarks, which increases the difficulty of pedicle screw implantation. Therefore, we present the clinical outcomes of robotic-assisted percutaneous fixation for thoracolumbar fractures in patients with AS.
METHODS: A retrospective review was conducted on a series of 12 patients diagnosed with AS. All patients sustained thoracolumbar fractures between October 2018 and October 2022 and underwent posterior robotic-assisted percutaneous fixation procedures. Outcomes of interest included operative time, intra-operative blood loss, complications, duration of hospital stay and fracture union. The clinical outcomes were assessed using the visual analogue scale (VAS) and Oswestry Disability Index (ODI). To investigate the achieved operative correction, pre- and postoperative radiographs in the lateral plane were analyzed by measuring the Cobb angle.
RESULTS: The 12 patients had a mean age of 62.8 ± 13.0 years and a mean follow-up duration of 32.7 ± 18.9 months. Mean hospital stay duration was 15 ± 8.0 days. The mean operative time was 119.6 ± 32.2 min, and the median blood loss was 50 (50, 250) ml. The VAS value improved from 6.8 ± 0.9 preoperatively to 1.3 ± 1.0 at the final follow-up (P < 0.05). The ODI value improved from 83.6 ± 6.1% preoperatively to 11.8 ± 6.6% at the latest follow-up (P < 0.05). The average Cobb angle changed from 15.2 ± 11.0 pre-operatively to 8.3 ± 7.1 at final follow-up (P < 0.05). Bone healing was consistently achieved, with an average healing time of 6 (5.3, 7.0) months. Of the 108 screws implanted, 2 (1.9%) were improperly positioned. One patient experienced delayed nerve injury after the operation, but the nerve function returned to normal upon discharge.
CONCLUSIONS: Posterior robotic-assisted percutaneous internal fixation can be used as an ideal surgical treatment for thoracolumbar fractures in AS patients. However, while robot-assisted pedicle screw placement can enhance the accuracy of pedicle screw insertion, it should not be relied upon solely.

OBJECTIVE: Despite the widespread of ventral hernia repairs globally, the approach method, dissection planes, defect closure, and the choice and placement layer of mesh are an ongoing debate. We reported the details of surgical techniques, safety and feasibility for robot-assisted transabdominal transversalis fascial and preperitoneal repair (R-TATFPP) for small ventral hernia.
METHODS: This study included 5 cases of R-TATFPP repair among 22 cases performed by robot-assisted ventral hernia repair from 2018 to 2023 with the approval of the Institutional Review Board at St. Luke\'s International University and clinical ethical committee at St. Luke\'s International Hospital (19-R147, 22-012).
RESULTS: There were four males and one female, with mean age of 64.4 ± 10.0 years, inclusive of two umbilical and three incisional hernias. Mean height, weight, body mass index (BMI), hernia defect length, width, operation time, console time, and hospital stay were 171.2 ± 11.8 cm, 82.4 ± 13.4 kg, 28.0 ± 2.1 kg/m2, 2.8 ± 1.4 cm, 3.0 ± 1.3 cm, 180 min, 133.8 min, and 2.4 days, respectively. No conversion nor complication was observed except for one acute urinary retention.
CONCLUSIONS: Robot-assisted transversalis fascial and preperitoneal repair was safe and feasible for small ventral hernia with the minimal disruption to the abdominal wall architecture and structures.

Trunk compensatory movements frequently manifest during robotic-assisted arm reaching exercises for upper limb rehabilitation following a stroke, potentially impeding functional recovery. These aberrant movements are prevalent among stroke survivors and can hinder their progress in rehabilitation, making it crucial to address this issue. This study evaluated the efficacy of visual feedback, facilitated by an RGB-D camera, in reducing trunk compensation. In total, 17 able-bodied individuals and 18 stroke survivors performed reaching tasks under unrestricted trunk conditions and visual feedback conditions. In the visual feedback modalities, the target position was synchronized with trunk movement at ratios where the target moved at the same speed, double, and triple the trunk\'s motion speed, providing real-time feedback to the participants. Notably, trunk compensatory movements were significantly diminished when the target moved at the same speed and double the trunk\'s motion speed. Furthermore, these conditions exhibited an increase in the task completion time and perceived exertion among stroke survivors. This outcome suggests that visual feedback effectively heightened the task difficulty, thereby discouraging unnecessary trunk motion. The findings underscore the pivotal role of customized visual feedback in correcting aberrant upper limb movements among stroke survivors, potentially contributing to the advancement of robotic-assisted rehabilitation strategies. These insights advocate for the integration of visual feedback into rehabilitation exercises, highlighting its potential to foster more effective recovery pathways for post-stroke individuals by minimizing undesired compensatory motions.

UNASSIGNED: This meta-analysis aims to assess the effectiveness and safety of robot-assisted deep brain stimulation (DBS) surgery for Parkinson\'s disease(PD).
UNASSIGNED: Four databases (Medline, Embase, Web of Science and CENTRAL) were searched from establishment of database to 23 March 2024, for articles studying robot-assisted DBS in patients diagnosed with PD. Meta-analyses of vector error, complication rate, levodopa-equivalent daily dose (LEDD), Unified Parkinson\'s Disease Rating Scale (UPDRS), UPDRS II, UPDRS III, and UPDRS IV were performed.
UNASSIGNED: A total of 15 studies were included in this meta-analysis, comprising 732 patients with PD who received robot-assisted DBS. The pooled results revealed that the vector error was measured at 1.09 mm (95% CI: 0.87 to 1.30) in patients with Parkinson\'s disease who received robot-assisted DBS. The complication rate was 0.12 (95% CI, 0.03 to 0.24). The reduction in LEDD was 422.31 mg (95% CI: 68.69 to 775.94). The improvement in UPDRS, UPDRS III, and UPDRS IV was 27.36 (95% CI: 8.57 to 46.15), 14.09 (95% CI: 4.67 to 23.52), and 3.54 (95% CI: -2.35 to 9.43), respectively.
UNASSIGNED: Robot-assisted DBS is a reliable and safe approach for treating PD. Robot-assisted DBS provides enhanced accuracy in contrast to conventional frame-based stereotactic techniques. Nevertheless, further investigation is necessary to validate the advantages of robot-assisted DBS in terms of enhancing motor function and decreasing the need for antiparkinsonian medications, in comparison to traditional frame-based stereotactic techniques.Clinical trial registration: PROSPERO(CRD42024529976).

UNASSIGNED: Medullary thyroid carcinoma constitutes 5% to 10% of all thyroid cancers. Metastatic adenopathies may pose challenges in intricate anatomical locations, such as the parapharyngeal space. A rare case of metastatic medullary thyroid carcinoma in the parapharyngeal space has been treated in our unit using combined trans-cervical trans-oral robotic surgery. Our objective was to provide a detailed description of the surgery performed on this patient.
UNASSIGNED: We reported a singular case report worth of interest.
UNASSIGNED: A 42-year-old woman was addressed in our unit for the management of a medullary thyroid carcinoma adenopathy located in the right parapharyngeal space. A parapharyngeal 40.0 mm × 25.0 mm × 12.0 mm adenopathy was removed using a combined trans-cervical and trans-oral robotic approach without sacrifice or injury of vascular or nervous structure. Neither the tracheostomy nor the feeding tube was implemented. Feeding was resumed on postoperative day 1 and hospitalization spanned 7 days.
UNASSIGNED: An innovative combined trans-cervical and trans-oral robotic surgery approach was conducted to address a metastatic medullary thyroid carcinoma in the parapharyngeal space. This surgical technique allowed us to circumvent the need for a trans-mandibular approach, tracheostomy, and feeding tube and enabling successful tumor removal without fragmentation. Postoperative care was significantly eased. The sole complication observed was dysphonia, likely resulting from intra-operative stretching of the vagus nerve during the dissection of the carotid artery.

This study systemically reviewed the effects of robot-assisted percutaneous kyphoplasty (R-PKP) on the clinical outcomes and complications of patients with osteoporotic vertebral compression fracture (OVCF). The articles published from the establishment of the database to 19 April 2024 were searched in PubMed, The Cochrane Library, Web of Science, Embase, Scopus, China National Knowledge Infrastructure (CNKI), and Chinese biomedical literature service system (SinoMed). Meta-analysis was employed to evaluate the status of pain relief and complications between the control and R-PKP groups. Standardized mean difference (SMD) or mean difference (MD), risk ratios (RR), and 95% confidence interval (CI) were selected for analysis, and a common or random effect model was adopted to merge the data. Eight studies involving 773 patients with OCVFs were included. R-PKP could effectively Cobb\'s angles (MD = -1.00, 95% CI -1.68 to -0.33, P = 0.0034), and decrease the occurrence of cement leakage (RR = 0.36, 95% CI 0.21 to 0.60, P < 0.0001). However, there was no significant effect on the results of visual analog scale (MD = -0.09, 95% CI -0.20 to 0.02, P = 0.1145), fluoroscopic frequency (SMD = 5.31, 95% CI -7.24 to 17.86, P = 0.4072), and operation time (MD = -0.72, 95% CI -7.47 to 6.03, P = 0.8342). R-PKP could significantly correct vertebral angle and reduce cement leakage. Thus, R-PKP maybe an effective choice for correction vertebral Angle and reducing postoperative complications, while its impact on relieving pain, decreasing fluoroscopic frequency, and shortening operation time need further exploration.

Navigation of mobile agents in unknown, unmapped environments is a critical task for achieving general autonomy. Recent advancements in combining Reinforcement Learning with Deep Neural Networks have shown promising results in addressing this challenge. However, the inherent complexity of these approaches, characterized by multi-layer networks and intricate reward objectives, limits their autonomy, increases memory footprint, and complicates adaptation to energy-efficient edge hardware. To overcome these challenges, we propose a brain-inspired method that employs a shallow architecture trained by a local learning rule for self-supervised navigation in uncharted environments. Our approach achieves performance comparable to a state-of-the-art Deep Q Network (DQN) method with respect to goal-reaching accuracy and path length, with a similar (slightly lower) number of parameters, operations, and training iterations. Notably, our self-supervised approach combines novelty-based and random walks to alleviate the need for objective reward definition and enhance agent autonomy. At the same time, the shallow architecture and local learning rule do not call for error backpropagation, decreasing the memory overhead and enabling implementation on edge neuromorphic processors. These results contribute to the potential of embodied neuromorphic agents utilizing minimal resources while effectively handling variability.

Although most patients with reflux can be managed with medical therapy, some require surgical intervention to manage their disease. Newer technologies, such as magnetic sphincter augmentation (MSA), have been promoted as the replacement of fundoplication. However, as time has elapsed, our institution noticed the need for the removal of MSA devices. Although a few reports have described MSA device removals, we provide a deeper explanation of how to perform a robotic device removal. Our article describes the technical steps and includes a video to demonstrate how to complete the surgery robotically.