Design and utilisation of a novel, high-fidelity, low-cost, hybrid-tissue simulation model to facilitate training in robot-assisted partial nephrectomy.

Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriately selected renal tumours, offering key patient benefits over radical nephrectomy or open surgical approaches. Accordingly, RAPN is a key competency that urology trainees wishing to treat kidney cancer must master. Training in robotic surgery is subject to numerous challenges, and simulation has been established as valuable step in the robotic learning curve. However, simulation models are often both expensive and suboptimal in fidelity. This means that the number of practice repetitions for a trainee may limited by cost restraints, and that trainees may struggle to reconcile the skills obtained in the simulation laboratory with real-world practice in the operating room. We have developed a high-fidelity, low-cost, customizable model for RAPN simulation based on porcine tissue. The model has been utilised in teaching courses at our institution, confirming both feasibility of use and high user acceptability. We share the design of our model in this proof-of-concept report.

Sensor-Based Measurement Method to Support the Assessment of Robot-Assisted Radiofrequency Ablation.

Digital surgery technologies, such as interventional robotics and sensor systems, not only improve patient care but also aid in the development and optimization of traditional invasive treatments and methods. Atrial Fibrillation (AF) is the most common cardiac arrhythmia with critical clinical relevance today. Delayed intervention can lead to heart failure, stroke, or sudden cardiac death. Although many advances have been made in the field of radiofrequency (RF) catheter ablation (CA), it can be further developed by incorporating sensor technology to improve its efficacy and safety. Automation can be utilized to shorten the duration of RF ablation, provided that the interactions between the tissue and the RF tools are well understood and adequately modeled. Further research is needed to develop the optimal catheter design. This paper describes the systematic methodology developed to support robot-assisted RF CA characterization measurements. The article describes the custom instruments developed for the experiments, particularly the contact force limiter, the measurement procedure, and the evaluation of the results, as enablers for new results. The aim was to establish an objective, repeatable, robust measurement method and adjacent procedure.

First prospective clinical assessment of the ILY® robotic flexible ureteroscopy platform.

PURPOSE: To present the initial prospective clinical assessment of the ILY® robotic ureteroscopy manipulator platform, focusing on its safety and effectiveness. METHODS AND MATERIALS: Data gathered from 31 kidney units which underwent elective robotic flexible ureteroscopy (FURS) for renal stone management utilizing the ILY® robotic system. Patient demographics, stone characteristics, surgical durations, perioperative and post-operative complications, and follow-up parameters were collected. Our primary outcome was evaluating the efficacy and safety of the ILY® robotic ureteroscopy for treating kidney stones. Therefore, we analyzed complication rates, surgical durations, and the stone-free rate during follow-up. RESULTS: Our cohort consisted of 29 patients, presenting with 45 stones with a median volume of 736.22 mm3. The median operation time was 85 min, accompanied by 3 min for robot draping, 3.5 min for robot docking, 48 min of console operation, and lasing time of 36.75 min. Post operative stay for all patients was 1 day, while complications were observed in 9.68% of cases. Notably, all complications were classified as CVD (Clavien-Dindo) class 1 due to pain requiring emergency department visit. The stone-free rate achieved was 93.55%, and none of the patient required reoperation for the treated stone. CONCLUSION: In the first prospective clinical experience of the ILY® robotic FURS, we demonstrated its efficacy and safety. To further investigate its clinical practical value, additional investigations are warranted, including direct comparative analyses with manual flexible ureteroscopy techniques.

Two-Stage Micropyramids Enhanced Flexible Piezoresistive Sensor for Health Monitoring and Human-Computer Interaction.

High-performance flexible piezoresistive sensors are becoming increasingly essential in various novel applications such as health monitoring, soft robotics, and human-computer interaction. The evolution of the interfacial contact morphology determines the sensing properties of piezoresistive devices. The introduction of microstructures enriches the interfacial contact morphology and effectively boosts the sensitivity; however, the limited compressibility of conventional microstructures leads to rapid saturation of the sensitivity in the low-pressure range, which hinders their application. Herein, we present a flexible piezoresistive sensor featuring a two-stage micropyramid array structure, which effectively enhances the sensitivity while widening the sensing range. Owing to the synergistic enhancement effect resulting from the sequential contact of micropyramids of various heights, the devices demonstrate remarkable performance, including boosting sensitivity (30.8 kPa-1) over a wide sensing range (up to 200 kPa), a fast response/recovery time (75/50 ms), and an ultralong durability of 15,000 loading-unloading cycles. As a proof of concept, the sensor is applied to detect human physiological and motion signals, further demonstrating a real-time spatial pressure distribution sensing system and a game control system, showing great potential for applications in health monitoring and human-computer interaction.

[Application of Intelligent Logistics System Based on AGV Robot in Medical Consumables Management].

Objective: Medical consumables are expensive, with numerous specifications and large usage, and traditional manual management models have certain drawbacks. Building an intelligent logistics management system to improve management level. Methods: Using AGV robots to achieve functions such as outbound, inbound, and inventory in the primary warehouse, the original "person to goods" mode is transformed into "goods to person" mode. Results: The intelligent logistics system based on AGV robots saves manpower, costs, reduces labor intensity, improves warehouse utilization, improves work efficiency. Conclusion: Hospital is a new field of intelligent logistics development, and intelligent logistics systems based on AGV robots have achieved good application results in hospitals, and improved the level of hospital intelligent management.

Effect of insurance status on perioperative outcomes after robotic pancreaticoduodenectomy: a propensity-score matched analysis.

The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient's socioeconomic and postoperative course, yet little has been published to support this claim specifically in reference to robotic pancreaticoduodenectomy. This study was undertaken to determine impact of health insurance type on perioperative outcomes in patients undergoing robotic pancreaticoduodenectomy. Following IRB approval, we prospectively followed 364 patients who underwent robotic pancreaticoduodenectomy. Patients were stratified by insurance status (i.e., Private, Medicare, and Medicaid/Uninsured); 100 patients were 2:2:1 propensity-score matched by age, BMI, ASA class, pathology, 8th edition AJCC staging, and tumor size. Perioperative variables were compared utilizing contingency testing and ANOVA. Statistical significance was accepted at a p-value ≤ 0.05 and data are presented as median (mean ± SD). The 100 patients undergoing propensity-score matching were 64 (65 ± 9.1) years old with a BMI of 27 (27 ± 4.9) kg/m2 and ASA class of 3 (3 ± 0.5). Operative duration was 421 (428 ± 105.9) minutes and estimated blood loss was 200 (385 ± 795.0) mL. There were 4 in-hospital deaths and 8 readmissions within 30 days of discharge. Total hospital cost was $32,064 (38,014 ± 22,205.94). After matching, no differences were found in pre-, intra-, and short-term postoperative variables among patients with different insurances, including hospital cost and time to initiate adjuvant treatment, which was 8 (9 ± 7.9) weeks for patients with malignant disease. In our hepatopancreaticobiliary program, health insurance status did not impact perioperative outcomes or hospital costs. These findings highlight that financial coverage does not influence quality of perioperative care, reinforcing the equity of robotic surgery.

Assessment of the quality of online patient-oriented information on robotic colorectal surgery.

With advances in modern medicine, there is a constant need for accurate and up-to-date readily available information online to ensure patients are well-equipped for informed decision making. This study sets out to analyze websites that provide patient-centered information on robotic colorectal surgery. Three search engines (Google, Yahoo and Firefox) were used with search terms 'robotic colorectal surgery' and the first 20 results on each platform assessed. After screening sites using predetermined criteria, further analysis was performed with the DISCERN questionnaire and Cohen Kappa analysis. Out of the 60 websites identified from the initial search, only 14 websites contained patient information on robotic colorectal surgery. Of these, only three (21%) sites had been updated in the past year and one site was last updated 10 years ago. Ten (71%) websites were affiliated with hospitals and the majority (12, 86%) were based in the United States of America (USA). Approximately half of the websites explored alternative surgical techniques, only three (21%) discussed the risks, a similar number had details on post-operative experience, and none mentioned cost implications, ongoing research or the waiting list involved. Overall, no website had a perfect score of 5 to be classified as good or excellent. There was at least a fair level of agreement (reliability score of > 0.2) in 12 DISCERN criteria (80%), 4 of which were statistically significant. Despite the huge volume of generic information on colorectal surgery, there is still a paucity of comprehensive patient-centered information on robotics as a modality of treatment.

The downtrending cost of robotic bariatric surgery: a cost analysis of 47,788 bariatric patients.

The surgical robot is assumed to be a fixed, indirect cost. We hypothesized rising volume of robotic bariatric procedures would decrease cost per patient over time. Patients who underwent elective, initial gastric bypass (GB) or sleeve gastrectomy (SG) for morbid obesity were selected from Florida Agency for Health Care Administration database from 2017 to 2021. Inflation-adjusted cost per patient was collected. Cost-over-time ($/patient year) and change in cost-over-time were calculated for open, laparoscopic, and robotic cases. Linear regression on cost generated predictive parameters. Density plots utilizing area under the curve demonstrated cost overlap. Among 76 hospitals, 11,472 bypasses (223 open, 6885 laparoscopic, 4364 robotic) and 36,316 sleeves (26,596 laparoscopic, 9724 robotic) were included. Total cost for robotic was approximately 1.5-fold higher (p < 0.001) than laparoscopic for both procedures. For GB, laparoscopic had lower total ($15,520) and operative ($6497) average cost compared to open (total $17,779; operative $9273) and robotic (total $21,756; operative $10,896). For SG, laparoscopic total cost was significantly less than robotic ($10,691 vs. $16,393). Robotic GB cost-over-time increased until 2021, when there was a large decrease in cost (-$944, compared with 2020). Robotic SG total cost-over time fluctuated, but decreased significantly in 2021 (-$490 compared with 2020). While surgical costs rose significantly in 2020 for bariatric procedures, our study suggests a possible downward trend in robotic bariatric surgery as total and operative costs are decreasing at a higher rate than laparoscopic costs.

[Technological development of robot-assisted radical prostatectomy].

The surgical outcomes of robot-assisted radical prostatectomy have shown remarkable improvement over the last two decades since its advent, due to advances in surgical concepts, techniques, and equipment. Today, ongoing research aims to compare the benefits and drawbacks of various surgical approaches, such as anterior, posterior, lateral, transvesical, and transperineal approaches, in terms of tumor control, functional recovery, and complication reduction in order to achieve the goal of pentafecta (no postoperative complications and negative surgical margins in addition to trifecta) to the maximum extent. It is imperative to explore and integrate novel technologies such as 5G remote surgery and artificial intelligence into the clinical practice of robot-assisted radical prostatectomy while ensuring patient safety, which has immense potential for substantial benefits to patients with prostate cancer.

Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (EASE) can differentiate a surgeon's experience level. In this simulation-based study, we define a competency benchmark for intraoperative robotic suturing using EASE as a validated measure of performance. DESIGN: Participants conducted a dry-lab vesicourethral anastomosis (VUA) exercise. Videos were each independently scored by 2 trained, blinded reviewers using EASE. Inter-rater reliability was measured with prevalence-adjusted bias-adjusted Kappa (PABAK) using 2 example videos. All videos were reviewed by an expert surgeon, who determined if the suturing skills exhibited were at a competency level expected for residency graduation (pass or fail). The Contrasting Group (CG) method was then used to set a pass/fail score at the intercept of the pass and fail cohorts' EASE score distributions. SETTING: Keck School of Medicine, University of Southern California. PARTICIPANTS: Twenty-six participants: 8 medical students, 8 junior residents (PGY 1-2), 7 senior residents (PGY 3-5) and 3 attending urologists. RESULTS: After 1 round of consensus-building, average PABAK across EASE subskills was 0.90 (Range 0.67-1.0). The CG method produced a competency benchmark EASE score of >35/39, with a pass rate of 10/26 (38%); 27% were deemed competent by expert evaluation. False positives and negatives were defined as medical students who passed and attendings who failed the assessment, respectively. This pass/fail score produced no false positives or negatives, and fewer JR than SR were considered competent by both the expert and CG benchmark. CONCLUSIONS: Using an absolute standard setting method, competency scores were set to identify trainees who could competently execute a standardized dry-lab robotic suturing exercise. This standard can be used for high stakes decisions regarding a trainee's technical readiness for independent practice. Future work includes validation of this standard in the clinical environment through correlation with clinical outcomes.

Robot-assisted vs laparoscopic bariatric procedures in super-obese patients: clinical and economic outcomes.

The increased operative time and costs represent the main limitations of robotic technology application to bariatric surgery. Robotic platforms may help the surgeon to overcome the technical difficulties in super-obese (SO, BMI ≥ 50 kg/m2) patients, in which multi-quadrant operations could be challenging. We aimed to evaluate the effect of robot-assisted (R) versus laparoscopic (L) approaches in Single Anastomosis Duodeno-Ileal Bypass with Sleeve Gastrectomy (SADI-S) and Roux-en-Y Gastric Bypass (RYGB) in SO and Super-Super Obese (SSO, BMI ≥ 60 kg/m2) patients in terms of outcomes and cost-effectiveness. Bariatric procedures performed from 2012 to 2023 were retrospectively reviewed. The inclusion criteria were BMI ≥ 50 kg/m2, primary SADI-S or RYGB. Operative time (OT), early complications, post-operative stay (POS), overall costs and follow-up data were analyzed. A subgroup analysis for surgical procedures and SSO patients was also performed. Among 4596 patients, 174 RYGB and 91 SADI-S in BMI ≥ 50 kg/m2 patients were selected. After Propensity Score Matching analysis, two groups of patients were identified (laparoscopic and robot-assisted), each one composed of 18 RYGB and 26 SADI-S. Intraoperative and post-operative complication rates and POS were comparable. Mean OT was longer in robotic procedures compared with laparoscopy (199.1 ± 65.7 and 109.5 ± 39.1 min, respectively, p < 0.001). The difference in OT was eliminated after only SSO patients were included in the analysis (172.7 ± 24.1 vs 152.6 ± 26.2 min for R-SADI-S and L-SADI-S, respectively, p = 0.107). Robotic surgeries were associated with higher costs (8134.6 ± 1886.7 and 2386.7 ± 388.2 € in R-RYGB and L-RYGB, respectively; 7996.6 ± 873.1 and 3954.6 ± 631.1 € in R-SADI-S and L-SADI-S). Despite increased costs, robotic approach may represent an added value in more complex cases such as SSO patients.

Assessment of online information on robotic cardiac and thoracic surgery.

Online health resources are important for patients seeking perioperative information on robotic cardiac and thoracic surgery. The value of the resources depends on their readability, accuracy, content, quality, and suitability for patient use. We systematically assess current online health information on robotic cardiac and thoracic surgery. Systematic online searches were performed to identify websites discussing robotic cardiac and thoracic surgery. For each website, readability was measured by nine standardized tests, and accuracy and content were assessed by an independent panel of two robotic cardiothoracic surgeons. Quality and suitability of websites were evaluated using the DISCERN and Suitability Assessment of Materials tools, respectively. A total of 220 websites (120 cardiac, and 100 thoracic) were evaluated. Both robotic cardiac and thoracic surgery websites were very difficult to read with mean readability scores of 13.8 and 14.0 (p = 0.97), respectively, requiring at least 13 years of education to be comprehended. Both robotic cardiac and thoracic surgery websites had similar accuracy, amount of content, quality, and suitability (p > 0.05). On multivariable regression, academic websites [Exp (B)], 2.25; 95% confidence interval [CI], 1.60-3.16; P < 0.001), and websites with higher amount of content [Exp (B)],1.73; 95% CI, 1.24-2.41; P < 0.001) were associated with higher accuracy. There was no association between readability of websites and accuracy [Exp (B)], 1.04; 95% CI, 0.90-1.21; P = 0.57). Online information on robotic cardiac and thoracic surgery websites overestimate patients' understanding and require at least 13 years of education to be comprehended. As website accuracy is not associated with ease of reading, the readability of online resources can be improved without compromising accuracy.

Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy.

OBJECTIVE: Individuals with temporal lobe epilepsy (TLE) frequently demonstrate impairments in executive function, working memory, and/or declarative memory. It is recommended that screening for cognitive impairment is undertaken in all people newly diagnosed with epilepsy. However, standard neuropsychological assessments are a limited resource and thus not available to all. Our study investigated the use of robotic technology (the Kinarm robot) for cognitive screening. METHODS: 27 participants with TLE (17 left) underwent both a brief neuropsychological screening and a robotic (Kinarm) assessment. The degree of impairments and correlations between standardized scores from both approaches to assessments were analysed across different neurocognitive domains. Performance was compared between people with left and right TLE to look for laterality effects. Finally, the association between the duration of epilepsy and performance was assessed. RESULTS: Across the 6 neurocognitive domains (attention, executive function, language, memory, motor and visuospatial) assessed by our neuropsychological screening, all showed scores that significantly correlated with Kinarm tasks assessing the same cognitive domains except language and memory that were not adequately assessed with Kinarm. Participants with right TLE performed worse on most tasks than those with left TLE, including both visuospatial (typically considered right hemisphere), and verbal memory and language tasks (typically considered left hemisphere). No correlations were found between the duration of epilepsy and either the neuropsychological screening or Kinarm assessment. SIGNIFICANCE: Our findings suggest that Kinarm may be a useful tool in screening for neurocognitive impairment in people with TLE. Further development may facilitate an easier and more rapid screening of cognition in people with epilepsy and distinguishing patterns of cognitive impairment.

Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.

BACKGROUND: There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for technical skills assessment, providing evaluation statuses to guide research and inform implementation into training curricula. METHODS: A systematic literature search was conducted in accordance with the PRISMA guidelines. Ovid Embase/Medline, PubMed and Web of Science were searched. Inclusion criterion: robotic surgery technical skills tools. Exclusion criteria: non-technical, laparoscopy or open skills only. Manual tools and automated performance metrics (APMs) were analysed using Messick's concept of validity and the Oxford Centre of Evidence-Based Medicine (OCEBM) Levels of Evidence and Recommendation (LoR). A bespoke tool analysed artificial intelligence (AI) studies. The Modified Downs-Black checklist was used to assess risk of bias. RESULTS: Two hundred and forty-seven studies were analysed, identifying: 8 global rating scales, 26 procedure-/task-specific tools, 3 main error-based methods, 10 simulators, 28 studies analysing APMs and 53 AI studies. Global Evaluative Assessment of Robotic Skills and the da Vinci Skills Simulator were the most evaluated tools at LoR 1 (OCEBM). Three procedure-specific tools, 3 error-based methods and 1 non-simulator APMs reached LoR 2. AI models estimated outcomes (skill or clinical), demonstrating superior accuracy rates in the laboratory with 60 per cent of methods reporting accuracies over 90 per cent, compared to real surgery ranging from 67 to 100 per cent. CONCLUSIONS: Manual and automated assessment tools for robotic surgery are not well validated and require further evaluation before use in accreditation processes.PROSPERO: registration ID CRD42022304901.

BACKGROUND: Robotic surgery is increasingly used worldwide to treat many different diseases. The robot is controlled by a surgeon, which may give them greater precision and better outcomes for patients. However, surgeons' robotic skills should be assessed properly, to make sure patients are safe, to improve feedback and for exam assessments for certification to indicate competency. This should be done by experts, using assessment tools that have been agreed upon and proven to work. AIM: This review's aim was to find and explain which training and examination tools are best for assessing surgeons' robotic skills and to find out what gaps remain requiring future research. METHOD: This review searched for all available studies looking at assessment tools in robotic surgery and summarized their findings using several different methods. FINDINGS AND CONCLUSION: Two hundred and forty-seven studies were looked at, finding many assessment tools. Further research is needed for operation-specific and automatic assessment tools before they should be used in the clinical setting.

Robot-assisted pelvic and renal surgery compared with laparoscopic or open surgery: Literature review of cost-effectiveness and clinical outcomes.

BACKGROUND AND AIM: The purpose of this study was to evaluate clinical experiences and cost-effectiveness by comparing robot-assisted surgery with laparoscopic- or open surgery for pelvic and renal operations. METHODS: A narrative review was carried out. RESULTS: When using robotic-assisted surgery, oncological and functional results are similar to after laparoscopic or open surgery. One exception may be a shorter survival in cancer of the cervix uteri. In addition, postoperative complications after robotic-assisted surgery are similar, bleeding and transfusion needs are less, and the hospital stay is shorter but the preparation of the operating theater before and after surgery and the operation times are longer. Finally, robot-assisted surgery has, in several studies, been reported to be not cost-effective primarily due to high investment costs. However, more recent studies provide improved cost-effectiveness estimates due to more effective preparation of the operating theater before surgery, improved surgeon experience, and decreased investment costs. CONCLUSIONS: Complications and functional and oncological outcomes after robot-assisted surgery are similar to open surgery and laparoscopic surgery. The cost-effectiveness of robot-assisted surgery is likely to equal or surpass the alternatives.

The application of objective clinical human reliability analysis (OCHRA) in the assessment of basic robotic surgical skills.

BACKGROUND: Using a validated, objective, and standardised assessment tool to assess progression and competency is essential for basic robotic surgical training programmes. Objective clinical human reliability analysis (OCHRA) is an error-based assessment tool that provides in-depth analysis of individual technical errors. We conducted a feasibility study to assess the concurrent validity and reliability of OCHRA when applied to basic, generic robotic technical skills assessment. METHODS: Selected basic robotic surgical skill tasks, in virtual reality (VR) and dry lab equivalent, were performed by novice robotic surgeons during an intensive 5-day robotic surgical skills course on da Vinci® X and Xi surgical systems. For each task, we described a hierarchical task analysis. Our developed robotic surgical-specific OCHRA methodology was applied to error events in recorded videos with a standardised definition. Statistical analysis to assess concurrent validity with existing tools and inter-rater reliability were performed. RESULTS: OCHRA methodology was applied to 272 basic robotic surgical skills tasks performed by 20 novice robotic surgeons. Performance scores improved from the start of the course to the end using all three assessment tools; Global Evaluative Assessment of Robotic Skills (GEARS) [VR: t(19) = - 9.33, p < 0.001] [dry lab: t(19) = - 10.17, p < 0.001], OCHRA [VR: t(19) = 6.33, p < 0.001] [dry lab: t(19) = 10.69, p < 0.001] and automated VR [VR: t(19) = - 8.26, p < 0.001]. Correlation analysis, for OCHRA compared to GEARS and automated VR scores, shows a significant and strong inverse correlation in every VR and dry lab task; OCHRA vs GEARS [VR: mean r = - 0.78, p < 0.001] [dry lab: mean r = - 0.82, p < 0.001] and OCHRA vs automated VR [VR: mean r = - 0.77, p < 0.001]. There is very strong and significant inter-rater reliability between two independent reviewers (r = 0.926, p < 0.001). CONCLUSION: OCHRA methodology provides a detailed error analysis tool in basic robotic surgical skills with high reliability and concurrent validity with existing tools. OCHRA requires further evaluation in more advanced robotic surgical procedures.

A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients.

PURPOSE: To explore the feasibility of a 5G-based telerobotic ultrasound (US) system for providing qualified abdominal US services on a rural island. METHODS: This prospective study involved two medical centers (the tele-radiologist site's hospital and the patient site's hospital) separated by 72 km. Patients underwent 5G-based telerobotic US by tele-radiologists and conventional US by on-site radiologists from September 2020 to March 2021. The clinical feasibility and diagnostic performance of the 5G-based telerobotic abdominal US examination were assessed based on safety, duration, image quality, diagnostic findings, and questionnaires. RESULTS: A total of 401 patients (217 women and 184 men; mean age, 54.96 ± 15.43 years) were enrolled. A total of 90.1% of patients indicated no discomfort with the telerobotic US examination. For the examination duration, telerobotic US took longer than conventional US (12.54 ± 3.20 min vs. 7.23 ± 2.10 min, p = 0.001). For image quality scores, the results of the two methods were similar (4.54 ± 0.63 vs. 4.57 ± 0.61, p = 0.112). No significant differences were found between the two methods in measurements for the aorta, portal vein, gallbladder, kidney (longitudinal diameter), prostate, and uterus; however, telerobotic US underestimated the transverse diameter of the kidney (p < 0.05). A total of 504 positive results, including 31 different diseases, were detected. Among them, 455 cases were identified by the two methods; 17 cases were identified by telerobotic US only; and 32 cases were identified by conventional US only. There was good consistency in the diagnosis of 29 types of disease between the two methods (κ = 0.773-1.000). Furthermore, more than 90% of patients accepted the telerobotic US examination and agreed to pay additional fees in future. CONCLUSION: The 5G-based telerobotic US system can expand access to abdominal US services for patients in rural areas, thereby reducing health care disparities.

Assessment of Quality Outcomes and the Learning Curve for Robot-Assisted Anatomical Lung Resections.

Background: To determine the perioperative quality assessment results and learning curves for robot-assisted anatomical lung resection. Methods: We analyzed the data of the initial 400 patients who underwent lobectomies or segmentectomies by 1 surgeon from January 2020 to November 2021. The learning curve was analyzed using cumulative sum analysis. Results: The surgical experience was divided into an initial phase (1st-40th procedures), a transition phase (41st-131st procedures), and a proficient phase (132nd procedure onward). The operative time showed a conspicuously continuous improvement over the 400 consecutive patients. After the 120th procedure, there were significant improvements in the rate of persistent air leakage (11.7% versus 3.9%; P = .003), chest tube duration (3.92 ± 1.91 versus 2.99 ± 1.31, P = .00), and postoperative hospital stay (6.22 ± 2.02 versus 4.93 ± 1.44, P = .00). Conclusions: In conclusion, 40 patients were necessary to pass the learning curve, and technical proficiency with favorable perioperative outcomes was achieved after 120-130 patients.

Development of depression assessment tools using humanoid robots -Can tele-operated robots talk with depressive persons like humans?

BACKGROUND: Depression is a common mental disorder and causes significant social loss. Early intervention for depression is important. Nonetheless, depressed patients tend to conceal their symptoms from others based on shame and stigma, thus hesitate to visit psychiatrists especially during early phase. We hypothesize that application of humanoid robots would be a novel solution. Depressed patients may feel more comfortable talking with such robots than humans. METHODS: We recruited 13 patients with major depressive disorder (MDD) and 27 healthy volunteers as controls. Participants took both tele-operated humanoid robot and human interviews to evaluate severity of depression using the Hamilton Depression Rating Scale (HDRS). In addition, participants completed a self-administered questionnaire asking about their impressions of the robot interview. RESULTS: Confidence interval and t-test analysis have revealed that the HDRS scores are equally reliable between robot and human interviews. No significant differences were observed between the two interviews regarding "nervousness about the interview" and "hesitancy to talk about depressed moods and suicidal ideation." Compared to human interviews, robot interviews yielded significantly lower scores on shame-related factors especially among patients with MDD. LIMITATION: Small sample size, and the evaluator is male only. CONCLUSIONS: This is the first report to show the reliability of tele-operated humanoid robot interviews for assessment of depression. Robot interviews are potentially equally reliable as human interviews. Robot interviews are suggested to be more appropriate in assessing shame-related suppressed emotions and hidden thoughts of depressed patients in clinical practice, which may reduce the stigma associated with depression.

Effect of robot for medication management on home care professionals' use of working time in older people's home care: a non-randomized controlled clinical trial.

BACKGROUND: Medication management has a key role in the daily tasks of home care professionals delivered to older clients in home care. The aim of this study was to examine the effect of using a robot for medication management on home care professionals´ use of working time. METHODS: A pragmatic non-randomized controlled clinical trial was conducted. The participants were home care professionals who carried out home care clients' medication management. Home care clients were allocated into intervention groups (IG) and control groups (CG) (n = 64 and 46, respectively) based on whether or not they received the robot. Data were collected using the Working Time Tracking Form prior to and 1 and 2 months after introducing the intervention. The t-test was used to compare the groups at each three timepoints. Analysis of Covariance was used to examine the groups' differences for the total time for medications as the number of visits per day as the covariate. RESULTS: With robot use, the total amount of home visits decreased by 89.4% and 92.4% after 1 and 2 months of intervention use, respectively, compared to pre-intervention (p < 0.001). The total working time used for medication management considering the number of visits per day decreased from 54.2 min (95% CI 37.4-44.3) to 34.9 min (31.4-38.3), i.e., by slightly over 19 min (p < 0.001) in the IG group. During the follow-up, the total working time used for medication management considering the number of visits per day remained the same in the CG group. CONCLUSION: Using a robot for medication management had a notable effect on decreasing the use of working time of home care professionals. For health services, decreased use of working time for medication management means that the time saved can be assigned to services that cannot be replaced otherwise. More digital solutions should be developed based on home care clients' and professionals' needs to meet the challenge of the growing number of older people in need of home care and ensure their safety. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05908604 retrospectively registered (18/06/2023).