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There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). It remains unclear how surgical residents can be trained in this new technology and how robotics can be integrated into surgical residency training. The conception of a training curriculum for RAS addressing surgical residents resulted in a three-step training curriculum including multimodal learning contents: basics and simulation training of RAS ( step 1 ), laboratory training on the institutional robotic system ( step 2 ) and structured on-patient training in the operating room ( step 3 ). For all three steps, learning content and video tutorials are provided via cloud-based access to allow self-contained training of the trainees. A prospective multicentric validation study was conducted including seven surgical residents. Transferability of acquired skills to a RAS procedure were analyzed using the GEARS score. All participants successfully completed RoSTraC within 1 year. Transferability of acquired RAS skills could be demonstrated using a RAS gastroenterostomy on a synthetic biological organ model. GEARS scores concerning this procedure improved significantly after completion of RoSTraC (17.1 (±5.8) vs. 23.1 (±4.9), p  < 0.001). In step 3 of RoSTraC, all participants performed a median of 12 (range 5–21) RAS procedures on the console in the operation room. RoSTraC provides a highly standardized and comprehensive training curriculum for RAS for surgical residents. We could demonstrate that participating surgical residents acquired fundamental and advanced RAS skills. Finally, we could confirm that all surgical residents were successfully and safely embedded into the local RAS team.

Background and Objectives: Spinal cord lesion is a severe disorder of the central nervous system, leading to partial or complete interruption of nerve impulse transmission between the brain and the periphery and causing severe neurological and functional deficits. Conventional rehabilitation offers limited outcomes, while robotic gait training (Lokomat®) and Vojta Therapy have shown benefits individually. Evidence on their combined effect remains scarce. To evaluate the combined effect of Vojta Therapy and Lokomat-assisted gait training on motor recovery, functional independence, and quality of life in SCL patients. Materials and Methods: A retrospective clinical study was conducted on 205 patients with traumatic and non-traumatic SCL. Patients were allocated to four groups: (F)—conventional rehabilitation; (V)—conventional + Vojta; (L)—conventional + Lokomat; (VL)—conventional + Vojta + Lokomat. Assessments included the ASIA Impairment Scale (AIS), ASIA motor/sensory scores, spasticity (Modified Ashworth Scale, MAS), functional independence (Functional Independence Measure, FIM), and health-related quality of life (EQ-5D), performed at admission and discharge. Statistical analyses comprised paired t-tests, Wilcoxon signed-rank tests, chi-square tests, Kruskal–Wallis with Dunn’s post hoc corrections, and linear regression. Results: The most frequent lesion levels were C7 (21%) and L1 (20%). All groups showed improvement in FIM scores, with the greatest gains in the VL group (from 79.25 to 84.79, p < 0.05). Post hoc analysis confirmed significantly higher FIM outcomes in VL compared with L. Regression analysis identified the ASIA motor score as the strongest predictor of functional independence (β = 0.76, p < 0.001), with VL group membership adding +10.3 points (p = 0.004). EQ-5D indicated persistent deficits in mobility and self-care, especially in VL patients, consistent with higher lesion severity. Conclusions: Combining Vojta Therapy with Lokomat training provides additional functional benefits compared with Lokomat or Vojta alone. Multimodal individualized rehabilitation appears promising for patients with spinal cord lesions. Prospective randomized controlled trials with long-term follow-up are warranted.

BackgroundEvidence for how to best train surgical residents for robotic bariatric procedures is lacking. We developed targeted educational resources to promote progression on the robotic bariatric learning curve. This study aimed to characterize the effect of resources on resident participation in robotic bariatric procedures.MethodsPerformance metrics from the da Vinci Surgical System were retrospectively reviewed for sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) cases involving general surgery trainees with a single robotic bariatric surgeon. Pictorial case guides and narrated operative videos were developed for these procedures and disseminated to trainees. Percent active control time (%ACT)—amount of trainee console time spent in active instrument manipulations over total active time from both consoles—was the primary outcome measure following dissemination. One-way ANOVA, Student’s t-tests, and Pearson correlations were applied.ResultsFrom September 2020 to July 2021, 50 cases (54% SG, 46% RYGB) involving 14 unique trainees (PGY1-PGY5) were included. From November 2021 to May 2022 following dissemination, 29 cases (34% SG, 66% RYGB) involving 8 unique trainees were included. Mean %ACT significantly increased across most trainee groups following resource distribution: 21% versus 38% for PGY3s (p = 0.087), 32% versus 45% for PGY4s (p = 0.0009), and 38% versus 57% for PGY5s (p = 0.0015) and remained significant when stratified by case type. Progressive trainee %ACT was not associated with total active time for SG cases before or after intervention (pre r = − 0.0019, p = 0.9; post r = − 0.039, p = 0.9). It was moderately positively associated with total active time for RYGB cases before dissemination (r = 0.46, p = 0.027) but lost this association following intervention (r = 0.16, p = 0.5).ConclusionUse of targeted educational resources promoted increases in trainee participation in robotic bariatric procedures with more time spent actively operating at the console. As educators continue to develop robotic training curricula, efforts should include high-quality resource development for other sub-specialty procedures. Future work will examine the impact of increased trainee participation on clinical and patient outcomes.

Background: Cerebral palsy (CP) is the most common cause of disability in developmental age, affecting motor and postural skills. With growth, lower-limb orthopedic surgery often becomes necessary. Post-surgical walking rehabilitation programs generally involve conventional therapy with only limited evidence on the use of robot-assisted gait training (RAGT). The aim of the present pilot study is to assess the feasibility and the preliminary functional outcomes of an intensive 3-week rehabilitation of 15 sessions with Lokomat combined with 15 sessions of conventional physiotherapy. Methods: In total, 27 patients with diplegic cerebral palsy who underwent orthopedic surgery were recruited. Outcomes collected: the 6 min walking test (primary outcome), the Gross Motor Function Measure-88, the Gillette Functional Assessment Questionnaire, 3D gait analysis, and spasticity and force metrics of the lower limbs. Paired statistical tests were used to assess pre–post changes. Results: A pre–post statistically significant improvement was observed in gait endurance in the 6MWT (Δ = 28.56 ± 34.28 m; p < 0.001) and in gross motor functional skills. Gait parameters showed some functional and structural improvements, and joint stiffness was reduced in some measures. Conclusions: This combined rehabilitative approach seems to be promising in postoperative patients with CP. Future studies, involving a control group and larger sample size, are needed to generalize our results.

Background The use of robotic trainers has increased with the aim of improving gait function in patients with limitations. Nevertheless, there is an absence of studies that deeply describe detailed guidelines of how to correctly implement robot-based treatments for gait rehabilitation. This contribution proposes an accurate robot-based training program for gait rehabilitation of pediatric population with Cerebral Palsy (CP). Methods The program is focused on the achievement of some specifications defined by the International Classification of Functioning, Disability and Health framework, Children and Youth version (ICF-CY). It is framed on 16 non-consecutive sessions where motor control, strength and power exercises of lower limbs are performed in parallel with a postural control strategy. A clinical evaluation with four pediatric patients with CP using the CPWalker robotic platform is presented. Results The preliminary evaluation with patients with CP shows improvements in several aspects as strength (74.03 ± 40.20%), mean velocity (21.46 ± 33.79%), step length (17.95 ± 20.45%) or gait performance (e.g. 66 ± 63.54% in Gross Motor Function Measure-88 items, E and D dimensions). Conclusions The improvements achieved in the short term show the importance of working strength and power functions meanwhile over-ground training with postural control. This research could serve as preliminary support for future clinical implementations in any robotic device. Trial registration The study was carried out with the number R-0032/12 from Local Ethical Committee of the Hospital Infantil Niño Jesús. Public trial registered on March 23, 2017: ISRCTN18254257 .

The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS training has lagged behind. The launch of new robotic platforms has paved the way for the creation of innovative robotics training systems. The aim of our study is to test the new training system from Hugo™ RAS System–Medtronic. Between July 2020 and September 2022, a total of 44 residents from urology, gynaecology and general surgery at our institution participated in advanced robotic simulation training using the Hugo™ RAS simulator. Information about sex, age, year of residency, hours spent playing video games, laparoscopic or robotic exposure and interest in robotics (90.9% declared an interest in robotics) was collected. The training program involved three robotic exercises, and the residents performed these exercises under the guidance of a robotics tutor. The residents’ performance was assessed based on five parameters: timing, range of motion, panoramic view, conflict of instruments and exercise completion. Their performance was evaluated according to an objective Hugo system form and a subjective assessment by the tutor. After completing the training, the residents completed a Likert scale questionnaire to gauge their overall satisfaction. The rate of the residents’ improvement in almost all parameters of the three exercises between the first and the last attempts was statistically significant (p < 0.02), indicating significant progress in the residents’ robotic surgical skills during the training. The mean overall satisfaction score ± standard deviation (SD) was 9.4 ± 1.2, signifying a high level of satisfaction among the residents with the training program. In conclusion, these findings suggest that the training program utilizing the Hugo™ RAS System is effective in enhancing robotic surgical skills among residents and holds promise for the development of standardized robotics training programs in various surgical specialties.

Robotic-assisted laparoscopic prostatectomy (RALP) is the dominant surgical approach for prostate cancer worldwide. The steep learning curve in robotic surgery is eased by modular training and the da Vinci Surgical System © dual console, where supervisors can assume control of the robot from a secondary console if required. Here we evaluate the safety of robotic training by comparing pathological and peri-operative outcomes of RALPs performed predominantly by urology trainees supported by a modular training approach and dual console supervision with RALPs performed predominantly by specialist robotic surgeons. This prospective cohort study examines RALPs performed at a tertiary robotic training centre in Australia between February 2017 and August 2018. Each case was divided into 13 steps from port placement to specimen retrieval. A case was considered a ‘trainee-lead case’ if the trainee completed more than 75% of the operative steps. We compared patient demographics, operative parameters, peri-operative outcomes, and pathological outcomes between groups. Differences between groups were measured using Fisher’s exact test for categorical data and the unpaired Student’s t-test for continuous data. Of 126 cases in this study, 39 (31%) were trainee-led cases and 87 (69%) were specialist lead cases. There was no significant difference in operative or pathological outcomes between trainee-lead cases and specialist-lead cases. Our results compared favourably with local and international benchmarks. RALP performed by trainees using a modular training approach and supported by the dual console can have equivalent peri-operative and pathological outcomes to specialist-led cases. This is achieved by graded progression and dual console supervision.

IntroductionSurgical autonomy for trainees has remained elusive to quantify. Proportion of active control time (ACT) of a trainee during a robotic case can be used as a broad measure of autonomy. However, this metric lacks in the granular detail of quantifying at what specific steps trainees were actively participating. We aim to quantify trainee involvement during robotic-assisted hiatal hernia repair at a task-specific level.MethodsWe performed a retrospective review of surgical performance data from robotic-assisted hiatal hernia repairs performed. These cases were segmented into 5 tasks by AI-assisted annotation with human review. The segmented tasks included: hiatal dissection, gastric fundus mobilization, mediastinal dissection, cruroplasty and fundoplication. Tasks were excluded if video segmentation of tasks was incorrect. During each task, ACT was recorded for resident, fellow and attending. Resident and fellow ACT per task was compared using the Mann–Whitney U test.ResultsResidents had the highest %ACT in the hiatal dissection (53%), gastric fundus mobilization (84%) and fundoplication (57%) tasks. Fellows had greater than 80% ACT in all 5 tasks, with the highest %ACT in the gastric fundus mobilization (100%) and hiatal dissection (88%). There was a significant difference between resident and fellow ACT during mediastinal dissection and cruroplasty.ConclusionsThis study demonstrates how objective performance metrics and automated case segmentation can quantify trainee participation at a task-specific level. By utilizing data afforded by a robotic surgery platform, we are able to provide an objective and automated form of assessment with minimal impact on the workflow of attendings and residents. Our findings can serve to inform residents on what steps they can expect to be involved in during the procedure, appropriate to their PGY level. With this task-level data, we can provide a roadmap for trainee progression to achieve full surgical autonomy.

Conventional penalty function-based safe reinforcement learning (RL) algorithms often handle safety and policy difference constraints separately, lacking specialized mechanisms to address scenarios where both constraints are violated simultaneously. This limitation sometimes results in severe performance degradation, underscoring the need for further investigation. To address this issue, a simple yet efficient safe RL algorithm is proposed in this work called coupled penalty-based safe policy optimization (CPSPO). CPSPO operates within the first-order local policy search framework, ensuring ease of implementation in practice. To enhance behavior correction when both constraints are violated, CPSPO introduces coupled penalties, considering the cost and Kullback-Leibler (KL)-divergence constraint violation situation simultaneously, effectively improving both constraints handling. Moreover, instead of the conventional policy ratio clipping mechanism, CPSPO directly incorporates the KL-divergence constraint in the loss function design, providing a more intuitive and practical approach to proximal safe policy optimization. Extensive experiments demonstrate that CPSPO outperforms mainstream safe RL algorithms in reward optimization and safety constraint satisfaction.

Background Rising health and financial costs associated with iatrogenic errors have drawn increasing attention to the dexterity of surgeons. With the advent of new technologies, such as robotic surgical systems and medical simulators, researchers now have the tools to analyze surgical motion with the goal of differentiating the level of technical skill in surgeons. Methods The review for this paper is obtained from a Google Scholar and PubMed search of the key words “objective surgical skill evaluation.” Only studies that included motion analysis were used. Results In this paper, we provide a clinical motivation for the importance of surgical skill evaluation. We review the current methods of tracking surgical motion and the available data-collection systems. We also survey current methods of surgical skill evaluation and show that most approaches fall into one of three methods: (1) structured human grading; (2) descriptive statistics; or (3) statistical language models of surgical motion. We discuss the need for an encompassing approach to model human skill through statistical models to allow for objective skill evaluation.