In 1985, Professor KWOH first introduced robots into neurosurgery. Since then, advancements of stereotactic frames, radiographic imaging and neuronavigation have led to the dominance of classic stereotactic robots. A comprehensive retrieval was performed using academic databases and search agents to acquire professional information, with a cutoff date of June, 2024. This reveals a multitude of emerging technologies are coming to the forefront, including tremor filtering, motion scaling, obstacle avoidance, force sensing, which have made significant contributions to the high efficiency, high precision, minimally invasive, and exact efficacy of robot-assisted neurosurgery. Those technologies have been applied in innovative magnetic resonance-compatible neurosurgical robots, such as Neuroarm and Neurobot, with real-time image-guided surgery. Despite these advancements, the major challenge is considered as magnetic resonance compatibility in terms of space, materials, driving, and imaging. Future research directions are anticipated to focus on (1) robotic precise perception; (2) artificial intelligence; and (3) the advancement of telesurgery.

This study introduces a novel approach for enhancing robotic path planning and navigation by optimizing point configuration through convolutional neural networks (CNNs). Faced with the challenge of precise area coverage and the inefficiency of traditional traversal and intelligent algorithms (e.g., genetic algorithms, particle swarm optimization) in point layout, we proposed a CNN-based optimization model. This model not only tackles the issues of speed and accuracy in point configuration with Gaussian distribution characteristics but also significantly improves the robot\'s capability to efficiently navigate and cover designated areas with high precision. Our methodology begins with defining a coverage index, followed by an optimization model that integrates polygon image features with the variability of Gaussian distribution. The proposed CNN model is trained with datasets generated from systematic point configurations, which then predicts optimal layouts for enhanced navigation. Our method achieves an experimental result error of <8% on the test dataset. The results validate effectiveness of the proposed model in achieving efficient and accurate path planning for robotic systems.

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps is challenging. A 3D map of the observed surfaces could enhance the identification of unscreened colon tissue and serve as a training platform. However, reconstructing the colon from video footage remains difficult. Learning-based approaches hold promise as robust alternatives, but necessitate extensive datasets. Establishing a benchmark dataset, the 2022 EndoVis sub-challenge SimCol3D aimed to facilitate data-driven depth and pose prediction during colonoscopy. The challenge was hosted as part of MICCAI 2022 in Singapore. Six teams from around the world and representatives from academia and industry participated in the three sub-challenges: synthetic depth prediction, synthetic pose prediction, and real pose prediction. This paper describes the challenge, the submitted methods, and their results. We show that depth prediction from synthetic colonoscopy images is robustly solvable, while pose estimation remains an open research question.

BACKGROUND: Precise and minimally invasive closed reduction is the premise of minimally invasive internal fixation. This paper aims to explore the safety and efficacy of a robot-assisted fracture reduction system (RAFR) in the treatment of pelvic fractures and to analyze its clinical advantages and existing problems.
METHODS: The RAFR system intelligently designed the optimal reduction path and target position based on a preoperative three-dimensional(3D) CT scan of the patient. The reduction robotic arm automatically reduced the affected hemipelvis according to the pre-planned reduction path.
RESULTS: The average residual displacement was the 6.65 ± 3.59 mm. According to Matta\'s criteria, there were 7 excellent, 10 good, and 3 fair, and the excellent and good rate was 85%. No postoperative complications occurred.
CONCLUSIONS: In our study, the RAFR system could complete accurate and minimally invasive closed reduction for most patients with unstable pelvic fractures, which could achieve good fracture reduction quality and short-term efficacy.

Hepatolithiasis is a complex condition that poses challenges and difficulties in surgical treatment. Three-dimensional visualization technology combined with fluorescence imaging (3DVT-FI) enables accurate preoperative assessment and real-time intraoperative navigation. However, the perioperative outcomes of 3DVT-FI in hepatolithiasis have not been reported. We aim to evaluate the efficacy of 3DVT-FI in the treatment of hepatolithiasis.
A retrospective analysis was performed on 128 patients who underwent hepatectomy for hepatolithiasis at the Department of Hepatobiliary Surgery, Zhujiang Hospital, between January 2017 and December 2022. Among them, 50 patients underwent hepatectomy using 3DVT-FI (3DVT-FI group), while 78 patients underwent conventional hepatectomy without 3DVT-FI (CH group). The operative data, postoperative liver function indices, complication rates and stone residue were compared between the two groups.
There were no significant differences in preoperative baseline data between the two groups (p > 0.05). Compared with the CH group, the 3DVT-FI group exhibited lower intraoperative blood loss (140.00 ± 112.12 vs. 225.99 ± 186.50 mL, p = 0.001), and a lower intraoperative transfusion rate (8.0% vs. 23.1%, p = 0.027). The overall incidence of postoperative complications did not differ significantly (22.0% vs. 35.9%, p = 0.096). The 3DVT-FI group was associated with a lower immediate residual stone rate (16.0% vs. 34.6%, p = 0.021). There were no perioperative deaths in the 3DVT-FI group, while one perioperative death occurred in the CH group.
The 3DVT-FI may offer significant benefits in terms of surgical safety, reduced intraoperative bleeding and decreased stone residue during hepatectomy for hepatolithiasis.

This study aimed to assess the feasibility of utilizing a surgical guide, designed through digital medical technology, in lateral orbital decompression surgery. METHODS: In total, 18 patients with thyroid-associated ophthalmopathy (TAO), who underwent orbital balance decompression surgery at the Affiliated Eye Hospital of Nanchang University between September 2018 and August 2022, were included. Orbital CT scanning was performed on all patients with TAO, and Mimics 21.0 software was used to reconstruct a three-dimensional model of the orbit based on the CT data. The osteotomy guide plate for lateral orbital decompression surgery was designed using 3-matic 13.0 software, adhering to the criteria of surgical effectiveness and safety. The surgical positioning guide was designed using Geomagic Wrap 21.0. Once printed, the surgical guide was sterilized with low-temperature plasma and applied during surgery. Of the nine patients treated using a surgical navigation system, three cases experienced cerebrospinal fluid leakage complications during the procedure, and two exhibited inadequate bone removal along the lateral wall. In contrast, among the nine patients treated with surgical guides, no intraoperative cerebrospinal fluid leakage or evidence of insufficient lateral wall bone removal was observed, highlighting a statistically significant distinction between the two cohorts (p = 0.046). Postoperative improvements were notable in best-corrected visual acuity (BCVA) and exophthalmos for patients afflicted with extremely severe TAO. The surgical guide, designed with digital medical technology, has been shown to be an effective and secure auxiliary tool in lateral orbital decompression surgery. It not only aids in reducing the incidence of intraoperative complications, but also enhances the accuracy and safety of surgery. These improvements offer robust support for continued exploration in this field within clinical practice.

Background and Objectives: Adolescent idiopathic scoliosis (AIS) is a prevalent three-dimensional spinal disorder, with a multifactorial pathogenesis, including genetics and environmental aspects. Treatment options include non-surgical and surgical treatment. Surgical interventions demonstrate positive outcomes in terms of deformity correction, pain relief, and improvements of the cardiac and pulmonary function. Surgical complications, including excessive blood loss and neurologic deficits, are reported in 2.27-12% of cases. Navigation-assisted techniques, such as the O-arm system, have been a recent focus with enhanced precision. This study aims to evaluate the results and complications of one-stage posterior instrumentation fusion in AIS patients assisted by O-arm navigation. Materials and Methods: This retrospective study assesses 55 patients with AIS (12-28 years) who underwent one-stage posterior instrumentation correction supported by O-arm navigation from June 2016 to August 2023. We examined radiological surgical outcomes (initial correction rate, loss of correction rate, last follow-up correction rate) and complications as major outcomes. The characteristics of the patients, intraoperative blood loss, operation time, number of fusion levels, and screw density were documented. Results: Of 73 patients, 55 met the inclusion criteria. The average age was 16.67 years, with a predominance of females (78.2%). The surgical outcomes demonstrated substantial initial correction (58.88%) and sustained positive radiological impact at the last follow-up (56.56%). Perioperative complications, including major and minor, occurred in 18.18% of the cases. Two patients experienced a major complication. Blood loss (509.46 mL) and operation time (402.13 min) were comparable to the literature ranges. Trend analysis indicated improvements in operation time and blood loss over the study period. Conclusions: O-arm navigation-assisted one-stage posterior instrumentation proves reliable for AIS corrective surgery, achieving significant and sustained positive radiological outcomes, lower correction loss, reduced intraoperative blood loss, and absence of implant-related complications. Despite the challenges, our study demonstrates the efficacy and maturation of this surgical approach.

The J-turn intersection is a novel roadway design which decreases the points of conflict at an intersection, by restricting straight crossing and left-turning movements from the minor road across the highway. The novelty of the intersection design may lead to driver errors and dissatisfaction. This study provides an examination of how naïve or first-time drivers may initially navigate J-turns during their first and early exposures to the novel intersection design. Thirty-six participants with limited previous experience and knowledge of J-turns participated in a simulation study to examine their acceptance of J-turns and left turning navigational performance at three simulated J-turn intersections in counterbalanced order, each featuring one of three signage levels. Results revealed participants committed slightly more frequent minor errors (e.g., inefficient lane selection) and significantly more major errors (e.g., missed U-turn) during the first J-turn exposure and these errors tended to decline during subsequent exposures, while moderate severity errors (e.g., risky lane change) slightly increased. Participants\' J-turn acceptance significantly declined following simulated driving exposure. The decline in J-turn acceptance was found to be greater among participants who experienced major severity errors; however, more frequent minor errors were associated with increased acceptance. Signage level had little effect on errors, but participants preferred improved signage or on-road markings to guide crossing movements. This work suggests that advanced educational programs and community initiatives should be utilized to prepare drivers for how to navigate J-turns rather than only rely on J-turn exposure to improve driver performance and acceptance.

OBJECTIVE: To explore the feasibility of using marking and fusion image-guided technique with cone-beam CT (CBCT) in cases of kidney ruptured haemorrhage without extravascular leakage in digital subtraction angiography (DSA) images.
METHODS: This is a retrospective case-control study that included 43 patients who underwent transcatheter arterial embolization for kidney ruptured haemorrhage and difficult haemostasis. The patients were divided into two groups: the CBCT group (cases without extravascular leakage observed in angiography) and the control group (cases with clearly identifiable target vessels in angiography). The baseline characteristics and clinical outcomes were collected and analysed.
RESULTS: The results showed no statistically significant differences in the duration of the procedure and intraoperative blood transfusion between the control and CBCT groups (P > .05). The study clarified that the CBCT group had a significantly higher rate of improvement of gross haematuria compared to the control group (P < .05). The CBCT group showed a greater increase in haemoglobin and a lesser increase in creatinine. The clinical success rates were 87.5% in the control group and 90.9% in the CBCT group (P > .05).
CONCLUSIONS: The marking and fusion image-guided technique is useful in cases of kidney ruptured haemorrhage without extravascular leakage of contrast agent. The technique is safe, feasible, and effective, and we believe it is superior to purely DSA-guidance.
CONCLUSIONS: The use of the marking and fusion image-guided technique is recommended to overcome the challenge of undetectable target vessels during interventional procedures. This technique is considered as non-inferior to purely DSA-guided interventional procedures where the target vessels are clearly identifiable.

OBJECTIVE: The value of computer navigation in total knee arthroplasty (TKA) for arthritic knees continues to be debated. The purpose of this study was to evaluate the value of navigated TKA associated with updated alignment philosophy.
METHODS: This prospective randomized controlled trial enrolled 38 consecutive patients (76 knees) and were randomly assigned to both groups. The demographic data and perioperative data were recorded. The coronal plane alignment of the knee (CPAK) classification was used to classify knee alignment phenotypes. Radiographic outcomes were measured and subgroup analysis was further performed. Clinical outcomes were evaluated using patient-reported outcome measures (PROMs). Surgery-related complications were recorded.
RESULTS: The distribution of CPAK phenotypes following constitutional aligned TKA was equivalent to the native cohort, whereas the mechanical aligned TKA dramatically altered the phenotype distribution from type I and type II to type V and type IV. Final implant positioning was different between groups, with constitutional aligned TKA having larger cTCA (P = .004), joint line obliquity (P = .006), joint line distance (P = .033) and smaller sFCA (P = .013). Subgroup analysis showed higher actual accuracy of component positioning was achieved in navigated TKA, especially in knees with deformity of > 10° (P < .05). Patients reported higher HSS score at three months postoperatively in constitutional aligned group (P = .002). One patient in navigated group suffered femoral pin site fracture caused by a minor trauma.
CONCLUSIONS: Computer navigated TKA allows for restoration of constitutional alignment and minimizes soft tissue release, which when compared to mechanical alignment may be associated with superior early outcomes.