Robot-assisted Surgery Research Articles

The experience with Hugo™ robot-assisted surgery on complex gynecological patients in Panama.

The Hugo™ robotic assisted surgery system is a relatively new robotic platform developed by Medtronic. The study objective was to describe the experience of using Hugo™ robotic assisted surgery in gynecological surgeries and compare robotic assisted surgery-related outcomes between complex and non-complex gynecological patients at the Pacifica Salud Hospital. We performed secondary data retrospective analysis of 144 consecutive patients who underwent gynecological surgery with Hugo™ robotic assisted surgery system (Medtronic) at the Pacifica Salud hospital in Panama City from July 19, 2021, to August 3, 2023. Complex patients were defined as those with one or more risk factors for surgery complications. Descriptive analysis of participants' sociodemographic and robotic assisted surgery-related characteristics. Due to the non-normal distribution of the RAS-related numeric variables, we compared these variables between complex and non-complex cases of gynecological patients using Kruskal-Wallis's test. The study found that Hugo™ robotic assisted surgery system was safe for gynecological surgery in patients with and without risk factors for developing major surgery complications. None of the patients experienced any complications, and they had short hospital stays with low blood loss without requiring a blood transfusion. The Hugo™ robotic assisted surgery system was technically sound and did not present technical failures. The results could be a reference for adopting this technology and developing best practices in the Latin American region.

Comparison of outcomes between single-port and multi-port robotic radical nephrectomy.

Single-port (SP) robotic surgery is a novel technology, and although there is emerging data, it remains limited in assessing single-port (SP) robot-assisted surgery as an alternative to multi-port (MP) platforms. To compare perioperative and postoperative outcomes between SP and MP robotic technologies for radical nephrectomy (RN). This is a retrospective cohort study of patients who have undergone robot-assisted radical nephrectomy using either the SP or MP technology. Baseline demographics, clinical, tumor-specific characteristics, and perioperative and postoperative outcomes were compared using χ2, t-test, Fisher exact test, and Mann-Whitney U test. Multivariable analyses were conducted using robust, Poisson, and logistic regressions. A total of 341 patients underwent robotic RN with 47 patients (14%) in the SP group. The two groups exhibited similar baseline characteristics, with no significant differences in age, sex, body mass index, Charlson comorbidities index, and tumor laterality. However, SP group had a smaller average tumor size (5.1cm vs 6.4cm, p = 0.009). The SP had longer operative time (178 ± 84min vs 142 ± 75min; p = 0.011) but showed no significant difference in the estimated blood loss, blood transfusion rate, length of stay, overall 30-day and major complication rates. Controlling for other variables, SP was significantly associated with a longer operative time and shorter length of stay. SP is associated with longer operative time but offers advantages such as smaller incisions and shorter hospital stays with a comparative safety profile to MP for radical nephrectomy.

Comparison between robotic-assisted Kasai portoenterostomy and open Kasai portoenterostomy in patients with biliary atresia.

Robotic-assisted Kasai portoenterostomy (RAKPE) is regarded as a treatment option for patients with biliary atresia (BA). We aimed to compare the clinical outcomes of RAKPE to the open Kasai portoenterostomy (OKPE). A retrospective review was conducted on a total of 74 type III BA patients who underwent RAKPE (RA group, n = 36) or OKPE (OP group, n = 38) from January 2018 to December 2022. The study analyzed demographic characteristics, intraoperative findings, and postoperative outcomes. The operative time in the RA group was significantly longer than that in the OP group (218.61 ± 31.70min vs 178.50 ± 27.90min, P < 0.05). The estimated blood loss in RA group was significantly lower than that in the OP group (8.65 ± 2.30mL vs 17.55 ± 3.60mL, P < 0.05). The recovery time of bowel sounds was significantly shorter in RA group than in the OP group (0.96 ± 0.12days vs 2.84 ± 0.37days, P < 0.05). All patients had bile-stained stools within 1-3days after surgery. The clearance rate of jaundice at 3 and 6months were significantly higher in RA group than in OP group (69.44% vs 60.53%, 75.00% vs 68.42%, P < 0.05). The rate of cholangitis in RA group was similar to that in OP group (50.00% vs 52.63%, P > 0.05). The native liver survival rate during the follow-up period was comparable between two groups (66.67% vs 63.16%, P > 0.05). Robotic-assisted Kasai surgery offers advantages in short-term outcomes and the clearance of jaundice in patients with type III BA.

A comparison of analgesic efficacy between oral pregabalin, gabapentin, and melatonin as non-opioid anaesthesia for robotic-assisted laparoscopic surgeries: A prospective randomized double-blinded clinical study

A comparison of analgesic efficacy between oral pregabalin, gabapentin, and melatonin as non-opioid anaesthesia for robotic-assisted laparoscopic surgeries: A prospective randomized double-blinded clinical study

Study on accuracy of prosthesis size selection for Naton robot-assisted medial unicondylar knee arthroplasty

To analyze the accuracy of prosthesis size selection in Naton robot-assisted medial unicondyle knee arthroplasty by comparing the actual prosthesis size used during operation and the preoperative planning. The clinical data of 100 patients (110 knees) who underwent Naton robot-assisted medial unicondylar knee arthroplasty between June 2023 and July 2024 was retrospectively analyzed, including 47 knees on left side and 63 knees on right side. There were 37 males (40 knees) and 63 females (70 knees) with a mean age of 65.4 years (range, 59-71 years). Body mass index was 22.2-28.6 kg/m 2 (mean, 25.4 kg/m 2). The disease duration ranged from 1 to 8 years (mean, 3.4 years). Preoperative planning was performed by Naton robotic surgical system based on lower limb CT data. The final prosthesis size after osteotomy was recorded and compared with the preoperative plan to analyse whether it was consistent with the preoperative plan, as well as the situation of knee flexion and extension gaps (<0.5 mm, >2.0 mm) corresponding to the different models of prostheses. During operation, 5 patients (5 knees) were treated with traditional UKA due to mechanical arm failure, software obstacles, significant bone amputation bias, or loose reference frame, and were excluded from the final analysis. The remaining 95 patients (105 knees) successfully received Naton robot-assisted surgery, and no related complications occurred. The prosthesis size was consistent with the preoperative plan in 101 knees (96.2%) on the femur side, 100 knees (95.2%) on the tibia side, and 97 knees (92.4%) on both femur and tibia sides. The prosthesis size was inconsistent in 3 cases (2.86%) on the femur side alone, 4 cases (3.81%) on the tibial side alone, and 1 case (0.95%) on both femur and tibial sides. Among the prostheses with different models, the flexion and extension gaps were less than 0.5 mm in 3 knees, the flexion gap was less than 0.5 mm and the extension gap was more than 2.0 mm in 3 knees, and the flexion gap was more than 2.0 mm and the extension gap was less than 0.5 mm in 2 knees. The accuracy of prosthesis size selection for Naton robot-assisted medial unicondylar knee arthroplasty is relatively high.

Choroidal and retinal alteration after long-term use of tadalafil: a prospective non-randomized clinical trial.

The purpose of this study is to investigate choroidal and retinal vascular features in patients taking PDE5is by measuring dynamic vascular alterations and neurostructural features of the retina before and after oral tadalafil administration. The current clinical research involved 22 patients treated with tadalafil 20 mg on alternate days (OAD) after nerve-sparing robotic radical prostatectomy (NS-RARP) for prostate cancer. Patients underwent SD-OCT to assess ganglion cell complex (GCC), retinal nerve fiber layer (RNFL), and subfoveal choroidal thickness (SFCT), as well as OCTA to assess superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris (CC), foveal avascular zone (FAZ), and radial peripapillary capillary thickness (RPC). All patients were evaluated at baseline (t0), and 3 (t1) and 6 (t2) months after the use of oral tadalafil. A statistically significant reduction in DCP and CC vessel density was found at t2 compared to baseline. According to the SFCT parameter, a statistically significant increase was observed from t0 to t1, and from t1 to t2. GCC parameter increased at t2 compared to baseline in a statistically significant way. No statistically significant differences were recorded between t0, t1 and t2 for the SCP, RPC, FAZ area, RNFL parameter. Retinal and optic disc toxicity may be detected using modifications of capillary vessel density. Further studies are needed to detect the possible progression or regression of ocular or systemic vascular complications in long-term follow-up.

OGC SO41 - Omentopexy Technique in Robotic Assisted Minimally Invasive Oesophagectomy

Abstract Background Laparoscopic omentopexy has been shown to reduce the rates of post-oesophagectomy diaphragmatic hernia (PODH) in a retrospective cohort study in a UK specialist centre. We aimed to demonstrate the technique during robotic-assisted minimally invasive oesophagectomy (RAMIE) with video capture. Method The Versius (CMR Surgical) robotic system was used in the abdominal stage of RAMIE performed on a 63 year old male with a poorly differentiated oesophageal adenocarcinoma. No previous abdominal surgery had been performed on this patient. Video capture was used to record this part of the procedure. Results Ports were inserted in standard configuration to allow fashioning of a gastric conduit. Following this the greater omentum was secured to the anterior abdominal wall around the jejunostomy site. No immediate complications were observed. Conclusion The Versius system can be used to successfully perform omentopexy with standard port positioning. Omentopexy was successfully performed with no immediate complications, did not significantly prolong procedural time and may reduce risk of PODH. The authors support the use of this technique in robotic-assisted surgery for reducing risk of PODH and support further work to validate this technique in cohort studies.

Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today?

The development of Artificial Intelligence (AI) is one of the most revolutionary changes in modern history. The combination of AI and Robotic surgery can be used positively for better patient outcomes. We aimed to conduct a review of AI and its role in robotic radical prostatectomy in modern day surgical practice. We conducted a literature review on this topic with specific discussion about whether the surgeon can be replaced by robots with AI capabilities based on latest studies available in the literature. We have presented a comprehensive overview of AI in robotic surgery. We conclude that AI capabilities are to assist the surgeon and the team to improve patient outcomes. Robots cannot replace the surgeon in the near future. Robots with AI capabilities can be only used as an adjuvant to complement the surgical team and not replace them.

Open versus robotic transversus abdominis release for ventral hernia repair: an updated systematic review, meta-analysis, and meta-regression.

Posterior component separation using transversus abdominis release (TAR) is well established as an option for repair of large hernia defects. TAR can be performed robotically (rTAR) or open (oTAR) with limited data to demonstrate benefit and guide decision making. We conducted a systematic review and meta-analysis comparing rTAR and oTAR approaches for ventral hernia repair (VHR). We searched Pubmed, Embase, Cochrane, and Web of Science for studies comparing rTAR and oTAR for VHR. Hybrid rTAR was not included in our analysis. Our primary outcomes were overall postoperative and intraoperative complications, surgical site occurrences (SSO), SSO requiring surgical intervention (SSOPI), surgical site infection (SSI) superficial or deep, and fascial closure. Additional outcomes were operative time (OT), readmission, length of hospital stay (LOS). We performed sensitivity analysis to explore reasons for heterogeneity and outliers, and a proportional meta-analysis of conversion during rTAR. We performed a meta-regression exploring the relationship of BMI, hernia defect and mesh width rTAR/oTAR with the analyzed outcome within each study. 503 studies were screened and seven studies were included in this analysis. Our sample totaled 780 patients, of which 298 (38.2%) underwent rTAR. Defect width ranged between 8.7 to 13.5cm (cm) for rTAR and 10 to 13.5cm for oTAR. Mean mesh area ranged from 66.9 to 980cm2 and from 51.3 to 1344cm2 for rTAR and oTAR respectively. We found lower overall complications (9% versus 24.6%; RR 0.43; 95% CI 0.26 to 0.73; P < 0.01) and intraoperative complication (5.9% versus 9.1%; RR 0.44; 95% CI 0.22 to 0.88; P = 0.02) rates for the rTAR group. There was no difference in fascial closure between the groups (99% versus 94.6%; RR 1.05; 95% CI 0.99 to 1.11; P = 0.11). rTAR presented lower SSI rates (2.5% versus 7.8%; RR 0.33; 95% CI 0.13 to 0.8; P = 0.01). No differences were found in SSO (16.3% versus 13.7%; RR 0.87; 95% CI 0.51 to 1.48; P = 0.6) or SSOPI (5.4% versus 8.9%%; RR 0.5; 95% CI 0.22 to 1.15; P = 0.1) rates. No statistically significant differences were found in superficial SSI (0.76% versus 3%; RR 0.36; 95% CI 0.07 to 1.75; P = 0.21) and deep SSI (0% versus 4.2%; RR 0.23; 95% CI 0.02 to 3.12; P = 0.27). Open surgery presented a lower OT (MD -67.7min; P < 0.001), but robotic surgery showed a reduced LOS (-3.9days; 95% CI -4.8 to -3.1; P < 0.001). No differences were found in readmission and 1year recurrence rates. The proportional meta-analysis showed a conversion to open rate of 6.4 per 100 patients (95% CI 3.3 to 12 patients) during rTAR. Meta-regression presented no statistically significant influences of rTAR/oTAR mesh width and defect width relations and BMI, despite the analysis was limited by the low number of studies. Robotic TAR may be associated with lower intraoperative and postoperative complications, lower SSI, shorter LOS, and longer operative times when compared to oTAR. Given the limitations of the included studies, randomized trials are needed to better evaluate the impact of the robotic-assisted surgery for complex abdominal wall reconstruction. CRD42024540991.

The Role of Robotics in Enhancing Precision and Outcomes in Orthopedic Surgery

The advent of robotics has significantly transformed orthopedic surgery, addressing challenges inherent in traditional manual techniques, such as variability in outcomes and precision limitations. Robotics enables millimeter-level accuracy, minimizes human error, and allows for personalized, minimally invasive procedures. Historical milestones, from the pioneering ROBODOC system in 1992 to advanced platforms like MAKO and ROSA, illustrate the progressive adoption of robotic systems, particularly in joint replacement and spine surgeries. Comparative studies demonstrate enhanced precision and reduced recovery times for robotic-assisted surgeries compared to conventional methods, with quantifiable improvements in alignment accuracy and postoperative outcomes. Key applications include joint arthroplasties, spinal surgeries, and complex trauma cases, where robotic assistance ensures accurate implant positioning, improved functional outcomes, and higher patient satisfaction rates. However, barriers such as cost, access disparities, and the learning curve persist. Emerging technologies, including artificial intelligence, augmented reality, and haptic feedback, are anticipated to further enhance robotic precision and broaden accessibility. As robotic systems become integral to orthopedic practice, ongoing advancements promise to elevate surgical standards, offering reliable, patient-specific solutions that improve both procedural consistency and quality of life.

Temperature and state-dependent electrical conductivity of soft biological tissue at hyperthermic temperatures

Objective: We present a physics-based, temperature and state-dependent electrical conductivity model for soft biological tissue under thermal therapies with a quantified damage parameter that represents the state of soft biological tissue (degree of denaturation). Most existing models consider electrical conductivity to be only temperature-dependent and evaluate tissue damage during post-processing after temperature calculation. Our model allows tissue damage to be coupled into the thermal model for a more accurate description of both RF ablation and electrosurgery. Methods: We model the denaturation process with an Arrhenius-type differential equation for chemical kinetics and a modified Stogryn equation for electrical conductivity under state transition. We present experimental data from two types of heating procedures at 128 kHz to validate and showcase the capability of our model. Results: Our model is able to capture the change in electrical conductivity during heating, cooling, and reheating procedures, which distinguishes different states and shows the irreversibility of denaturation. The model also accurately captures tissue change during slow cooking at a constant temperature, highlighting a state dependence. Conclusion: By incorporating state dependence into the model for electrical properties, we are able to capture the denaturation process more accurately and distinguish different degrees of damage. Our model allows the modeling of procedures involving repeated heating or cooling, which is impossible for models without a state dependence. While being able to adapt to patient-specific needs, the model can be used to improve planning and control in future robot-assisted surgeries to reduce unnecessary damage.

Experience of using robot-assisted (da Vinci) operations in the treatment of common endometriosis

Background. Currently, genital endometriosis is considered as one of the most severe conditions in women of reproductive age, which has detrimental consequences for social, professional and psychological functioning. It ranks third in the structure of gynecological diseases after inflammatory diseases of the female reproductive system and uterine fibroids. Because of this, it acquires a more pronounced social significance and ceases to be only a medical problem. Aim. To study the results of surgical treatment of patients with severe forms of genital endometriosis using the da Vinci surgical robotic complex.Materials and methods. A retrospective analysis of the treatment results of 51 patients operated on at the N.I. Pirogov National Medical and Surgical Center for the period from January 2015 to July 2024, who underwent robot-assisted (da Vinci) operations for deep endometriosis involving neighboring organs. The duration of surgery and hospital stay, the amount of blood loss, the frequency of intra- and postoperative complications, the clinical course of the disease in the long-term postoperative period, the frequency of detection of residual infiltration in the postoperative period, and the implementation of reproductive plans were analyzed.Results. The duration of the surgical intervention was 220.8 ± 21.87 minutes. The postoperative bed-day was 6.9 ± 1.5 bed days. The average blood loss was 160.2 ± 67.58 ml. There were no intraoperative complications. Postoperative complications accounted for 7.8 %. Residual infiltration occurred in 11.7 % of cases. 94.1 % of the patients had no clinical symptoms of endometriosis in the long-term postoperative period. The pregnancy rate was 31.9 %.Conclusion. Surgical treatment of deep endometriosis using da Vinci surgical robotic complex in the amount of radical removal of endometrioid infiltrate has a positive effect on both the clinical course of the disease and the reproductive potential of a woman. Real-time fluorescence navigation has demonstrated additional imaging capabilities in robotic surgery for deep endometriosis, potentially increasing the radicalism of surgical treatment of infiltrating endometriosis and may lead to a reduction in recurrence rates.

Trajectory Planning and Adaptive Fuzzy PID Control for Precision in Robotic Vertebral Plate Cutting: Addressing Force Dynamics and Deformation Challenges

This study explores trajectory planning and cutting force control for spinal surgical robots, focusing on managing cutting deformation and vibration during vertebral plate cutting—a critical challenge in robotic spinal surgery. Through theoretical analysis, simulation, and experimental validation, the research addresses the complexities of cutting force dynamics and the associated deformations. A dynamic equation for vertebral plate cutting is established, providing a theoretical foundation for trajectory planning. A new trajectory planning method using B-spline curves and an interpolation point constraint formula is introduced, enabling precise robot trajectory control. Additionally, an adaptive fuzzy PID control strategy with force feedback is proposed to dynamically adjust the feed rate, effectively suppressing cutting deformation and vibration in real time. Simulations and experiments validate the effectiveness of these methods in reducing force fluctuations and enhancing control stability. The findings offer valuable guidance for improving the performance and safety of spinal surgery robots, optimizing their trajectories, incorporating dynamic sensing, and enhancing safety controls. Future research should focus on refining control strategies for more complex surgical scenarios and validating their applicability under conditions closer to actual surgical environments. This work provides theoretical and practical insights into advancing robotic spinal surgery, contributing to better surgical outcomes and patient safety.

Comparison of robot-assisted, open, and laparoscopic-assisted surgery for cholangiocarcinoma: a network meta-analysis.

The aim of this study is to compare the efficacy of robot-assisted, laparoscopic-assisted and open surgery in the treatment of cholangiocarcinoma, and to evaluate the clinical effect of three surgical methods in the treatment of cholangiocarcinoma by network Meta-analysis. A systematical retrieval in PubMed and Web of Science was performed for relative literature on the effects of robot-assisted(RA), laparoscopy-assisted(LA), and open surgery(OA) for cholangiocarcinoma in treating cholangiocarcinoma. A literature search updated to September 1st, 2024, was performed. Studies have shown that the length of R0 resection, complication rate, 30-day mortality, Transfusion rate, Lymph Node Metastasis Rate, and hospital stay in RA are superior to LA and open surgery. The relative effectiveness of the three surgical methods in terms of operation time were: open surgery, laparoscope-assisted surgery, and robot-assisted surgery, and there was no significant difference among the three groups. Robot-assisted surgery is safe and feasible in the treatment of cholangiocarcinoma, but more clinical evidence is needed to confirm these findings.

No difference in surgical time and total theatre time between robotically assisted and computer assisted total knee arthroplasty

IntroductionA number of studies have demonstrated a significant reduction of surgical time for robotically assisted surgery (RAS) total knee arthroplasty (TKA) after the learning curve between 6 and 43 cases. It is unknown if the logistics of RAS produce a longer total theatre time since published literature only reflects the surgical time. It is also unknown how RAS surgical and total theatre times compare with computer assisted surgery (CAS) TKA.MethodsThis is a prospective study of 524 consecutive patients undergoing a CAS or a RAS TKA using the same cementless implant. We recorded age, sex, body mass index (BMI), incision time of the first case, total surgical time, total theatre time, length of stay and 90-day complication and readmission rate.ResultsDuring the study period, 205 CAS and 199 RAS TKA were performed. There was no difference at baseline in age (p = 0.546), sex (p = 0.920) or BMI (p = 0.791). Surgical time for CAS was 78.3 (± 22.2) min and for RAS was 80.1 (± 25.7) min, p = 0.451. Total theatre time for CAS was 117.4 (± 27.8) min and 119.3 (± 30.7) min for RAS, p = 0.515. There was no difference in length of stay (p = 0.674), 90-day complication (p = 0.530) or readmission rate (p = 0.930). There was a difference in skin-incision average time for the first case (p = 0.022).ConclusionsAlthough theatre set-up for the first case is 5 min longer, RAS-TKA does not prolong the surgical time or total theatre time when compared with CAS-TKA. There was no reduction in case volume since the introduction of robotics.Level of evidenceIII.

Design of a Novel Macro-Micro Integrated Brain Surgery Robot Based on Modular Parallel Mechanisms

The advancement and development of medical surgical robots have provided new technological support for brain surgery and neurosurgical procedures, improving the reliability of highly complex and precise surgeries. In turn, this urges the design and development of novel surgical robots to possess higher precision, stability, and enhanced motion capabilities. In response to this practical demand, this paper introduces a macro-micro integrated medical brain surgery robot system based on the concept of modular PMs (parallel mechanisms), which have a total of 13 active DOFs (degrees of freedom). This system divides the motion process of brain surgery into a large-scale macro-motion space and a small-scale high-precision motion space for design and planning control. The introduction of the design concept that combines multiple modular parallel sub-mechanisms has brought a significant level of decoupling characteristics to the mechanism itself. A comprehensive introduction and analysis of the surgical robot are provided, covering aspects such as design, kinematics, motion planning, and performance indicators. To address the pose allocation and coordination of motion between the macro platform and the micro platform, a pose allocation algorithm based on the decoupling and non-decoupling characteristics in various dimensions of the macro-micro platform is proposed. The designed measurement experiments have demonstrated that the repeatability in positioning accuracy of the macro and micro platform reaches the level of micron and submicron respectively. Practical experiments of motion control and simulated brain electrode implantation validate the excellent performance and stability of the entire surgical robot system. This research contributes innovative insights to the development of medical surgical robot systems, particularly in the domain of mechanism design.

Research on autonomous obstacle avoidance and automatic obstacle avoidance of minimally invasive surgical robots

Abstract. With the development of modern society, people pay more and more attention to health and safety, especially to the development of medical techniques. The demand for higher medical standards has led to minimally invasive surgery becoming a better choice for patients. Minimally invasive surgeries involve less trauma, lower blood loss, quicker recovery, and a lower risk of infection. However, compared to traditional surgeries, these surgeries demand higher precision and skill from the surgeons, making surgical robots the preferred tool for most minimally invasive operations. Surgical robots can eliminate the surgeon's hand tremors during the operation, enhance the precision of surgical operations, and offer greater flexibility with their small end size inside human organs. Despite these advantages, minimally invasive surgical robots can not avoid obstacles and plan the path of human organs and cavities in real-time. This paper reviews the dynamic path planning and real-time obstacle avoidance of modern minimally invasive surgical robots, including their development progress and research directions. It also introduces in detail the mainstream research methods of path planning and real-time obstacle avoidance in modern research. Finally, the current technical challenges and the prediction of the future research direction are pointed out and the reference suggestions are provided.

Development and application of a non-technical skills coaching intervention framework for surgeons: A pilot quality improvement initiative.

Non-technical skills (NTS) challenges experienced by surgeons may degrade performance, ultimately impacting the safety and quality of care delivered to patients. The objectives of this work were to develop a framework for NTS coaching for surgeons and implement a coaching program utilizing the developed NTS coaching framework. Leveraging adult learning and self-determination theories, a specialty-agnostic NTS coaching framework was developed for individual coaching sessions with robotic surgeons. The framework was used to deliver NTS coaching sessions to robotic surgeons. Surgeon's robotic procedures were recorded, and expert raters assessed their NTS using the Non-Technical Skills for Surgeons tool. Measures of surgeon satisfaction, learning outcomes, and performance improvement were determined. Cohen's d statistic was used to estimate the effect size of the coaching intervention. To pilot the program, ten robotic-assisted surgeries (five pre-coaching and five post-coaching) were observed from five practicing robotic surgeons who were recruited from a large academic healthcare system. Expert raters' assessment of surgeons' NTS revealed several exemplar and non-exemplar behaviors. Surgeons were satisfied with the coaching, rating its quality very highly on all NTS dimensions. On a Likert scale of 1 (strongly disagree) to 5 (strongly agree), surgeons had a stronger agreement that the coaching could improve their situation awareness (4.0±.5) and leadership (4.8±.2) skills compared to their decision making and communication (3.8±.7). From the post-coaching observations, coaching had medium-to-large effect on situation awareness (d = .65) and leadership (d = .41), small effect on communication and teamwork (d = .14), and no effect on decision-making. Overall, the coaching intervention had a medium effect on total NTS (d = .33). We presented a quality improvement initiative to enhance the NTS of surgeons by implementing a coaching program that leverages our developed NTS framework. Recognizing the importance of NTS in surgeries, our initiative shows a commitment to continuous improvement of patient safety and quality of care.

Subcutaneous emphysema in patients undergoing robotic cardiac surgery: risk factors and clinical outcome.

Little is known about the incidence of subcutaneous emphysema (SE) after robotic cardiac surgery. The aim of this study was to describe the incidence, identify risk factors, and assess its influence on postoperative outcomes. Patients undergoing robotic mitral valve repair (n = 63, 54.3%), robotic minimally invasive direct coronary artery bypass grafting (n = 23, 19.8%), and robotic totally endoscopic coronary artery bypass grafting (n = 30,25.9%) were included in the analysis (total n = 116). Subcutaneous emphysema occurred in 53/116 patients (45.7%). It was mild in 30/53 patients (56.6%), moderate in one patient (1.9%), and severe in 22/53 patients (41.5%). Low body weight (p = 0.009), low BMI (p = 0.006), small body surface area (p = 0.01), and older age (p = 0.041) significantly correlated with SE. Patients undergoing robotic mitral valve repair were affected more often than patients undergoing robotic coronary artery bypass grafting (p = 0.04). Severe subcutaneous emphysema resulted in an increased need for CT-chest imaging (p = 0.026), and additional chest tubes (p = 0.029). Severe emphysema was highly associated with pneumothorax (p < 0.001) and increased duration of chest tube drainage (p = 0.003). Subcutaneous emphysema after robotic heart surgery occurs preferentially in patients with low body weight, low BMI, a small body surface area, and older age and is more common in robotic MVR than in robotic coronary artery bypass surgery. It leads to an increased need for thoracic imaging and additional chest tube insertion. Clinical outcomes are not affected.

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that utilize advanced DL methods and architectures. These sophisticated DL models have shown notable improvements in the precision and efficiency of detecting and segmenting surgical tools. The enhanced capabilities of these models support various clinical applications, including real-time intraoperative guidance, comprehensive postoperative evaluations, and objective assessments of surgical skills. By accurately identifying and segmenting surgical instruments in video data, DL models provide detailed feedback to surgeons, thereby improving surgical outcomes and reducing complication risks. Furthermore, the application of DL in surgical education is transformative. The review underscores the significant impact of DL on improving the accuracy of skill assessments and the overall quality of surgical training programs. However, implementing DL in surgical tool detection and segmentation faces challenges, such as the need for large, accurately annotated datasets to train these models effectively. The manual annotation process is labor-intensive and time-consuming, posing a significant bottleneck. Future research should focus on automating the detection and segmentation process and enhancing the robustness of DL models against environmental variations. Expanding the application of DL models across various surgical specialties will be essential to fully realize this technology’s potential. Integrating DL with other emerging technologies, such as augmented reality (AR), also offers promising opportunities to further enhance the precision and efficacy of surgical procedures.