Different Levels Of Experience Research Articles

Comparison of the Diagnosis and Treatment of Nasal Bone Fracture by Physicians in China With Different Levels of Experience.

This study aimed to investigate the conflicts in the diagnosis and treatment of nasal bone fracture by Chinese otolaryngologists to improve the diagnosis and treatment accuracy of junior otolaryngologists and emergency physicians. A questionnaire was designed and filled out by otolaryngologists in large general hospitals. The questions included how to choose an auxiliary examination to diagnose nasal bone fracture, whether tamponade is required after closed reduction, the selection of packing materials, the timing of an operation, and the evaluation of postoperative effect. The questionnaire results were divided into 3 groups according to the experience levels of experienced of physicians. A total of 151 otolaryngologists with different levels of experience from 26 provinces in China completed the questionnaire. 90.73% of physicians thought that nasal bone computed tomography was the most important auxiliary examination to diagnose a nasal bone fracture. 52.32% of them compared photos before and after the operation to evaluate postoperative effects. About 53% of physicians thought that 7 to 10 days after reducing local swelling is the optimal time for closed reduction. There is no obvious difference in the diagnosis and treatment of nasal bone fracture among otolaryngologists with different levels of experience in Chinese otolaryngologists with different levels. Most physicians choose nasal bone computed tomography for diagnosis, perform surgery at 7 to 10 days after injury, and compare photos from before and after the operation to evaluate the postoperative effect.

Sport driving skills: A preliminary comparative study from outdoor testing sessions

The optimization of vehicle handling is a multifaceted process that extends beyond the vehicle’s design and engineering. This work focuses on the fundamental role that drivers play in shaping the vehicle’s overall behavior. While technological advancements have significantly impacted the automotive industry, defining new methodologies and approaches for vehicle controls, there is not yet a uniquely recognized procedure to objectively define the skills and weaknesses of pilots. This paper aims to present the preliminary results of an innovative study, based on an outdoor test campaign with a fully instrumented vehicle, driven on track by several drivers with different levels of experience. Starting from the collected data, a series of objective and generalized metrics have been defined in order to quantify different aspects related to the direct driver interaction with the car and to the trajectory repeatability. By analyzing the results obtained from these metrics, it has been possible to highlight the differences among the participants in the experimental campaign. In order to create a practical visualization of the goodness of the approach, a driver ranking has been defined and it is coherent with both the best lap times obtained by the drivers and their actual experience.

دور استخدام التعلم النقال في تحسين مهارات تصميم الجرافيك لدى المصممين الممارسين واتجاهاتهم نحوه

Mobile learning has emerged as a prominent trend in recent years, offering a valuable source of education and training for graphic designers. This study aimed to explore the impact of mobile learning on enhancing graphic design skills and assess the attitudes of practicing designers towards it. A descriptive survey method was employed, involving 534 conveniently selected practicing designers with familiarity in social media platforms. An electronic questionnaire was distributed via email and social media platforms in Saudi Arabia. Statistical analysis using SPSS software revealed a strong consensus among designers regarding the effectiveness of mobile learning in improving their design skills. Technical and printing skills were rated highly, while creativity and innovation were exceptionally high. The results of the research found a statistically significant differences at the level (≥ α 0,05) in improving graphic design skills according to gender, were high among males. Educational qualifications and specialization did not show any significant differences. However, variations were observed among different age groups and levels of experience. The study recommended further research in the field of learning and enhancing graphic design skills, along with the establishment of a dedicated educational platform for knowledge exchange and staying updated with the latest developments.

Barriers to and facilitators of deprescribing for older people in secondary care in Saudi Arabia: a qualitative study using a theory-based approach

Abstract Introduction In Saudi Arabia, more than 55% of older patients are subjected to potentially inappropriate prescribing.[1] Despite this, deprescribing by healthcare professionals (HCPs; e.g. physicians and pharmacists) is limited. Therefore, identifying barriers to and facilitators of deprescribing from HCPs’ perspective is crucial to establish the evidence base to inform future development of a deprescribing intervention in the hospital setting in Saudi Arabia. Aim To explore HCPs’ experiences and perspectives of deprescribing in older patients in order to identify barriers to and facilitators of deprescribing, using a theory-based approach. Methods A qualitative study using semi-structured interviews conducted with physicians and pharmacists who worked in hospitals in a southern region of Saudi Arabia. A purposive sampling approach was employed to recruit participants from various hospitals with different levels of experience. Physicians who worked with older inpatients and pharmacists with a ward-based role who had input into prescribing decisions were eligible to be included. Theoretical Domains Framework (TDF2)-based interviews were conducted with participants until theoretical data saturation was achieved.[2] Interviews were audio recorded, transcribed verbatim and data analysed inductively using reflexive thematic analysis. Themes were mapped to the TDF2, enabling prioritisation of domains and identification of behaviour change techniques (BCTs) for inclusion in future intervention development. Results Forty HCPs were interviewed (20 physicians and 20 pharmacists). Four themes associated with facilitators and barriers to deprescribing were identified: (i) perceptions and consequences of deprescribing; (ii) roles of HCPs and communication; (iii) factors influencing deprescribing decisions and (iv) culture, environment, and resources. All determinants from these themes were mapped to TDF domains. Six TDF domains were prioritised to represent key barriers and facilitators. These were: the limited role of pharmacists in deprescribing (‘Social/professional role and identity’); lack of formal documentation of deprescribing outcomes (‘Behavioural regulation’); perceived risks versus benefits of deprescribing (‘Beliefs about consequences’); lack of tailored guidelines for deprescribing (‘Knowledge’); lack of a connected system between different hospital settings (‘Environmental context/resources’) and the importance of inter-professional social support and collaboration between HCPs (‘Social influences’). These domains were mapped to 40 BCTs for consideration for inclusion in a deprescribing intervention. Conclusion This study served as a starting point for the design of a theory-based intervention in Saudi Arabia to implement deprescribing in hospital settings. The findings have revealed influences on deprescribing that have not previously been described in this context. These encompassed the need to enhance the interface between primary and secondary care and the potential impact of improving health and social care systems in Saudi Arabia to enable deprescribing. Participants were sampled across a southern region of Saudi Arabia, which enhanced the transferability of the findings to other similar hospital settings. However, only physicians and pharmacists were recruited, which may limit the international transferability of the findings to countries where other professionals have a role in deprescribing. Future work will determine the prioritised BCTs to be operationalised in the intervention using the APEASE (Affordability, Practicability, Effectiveness/cost-effectiveness, Acceptability, Side-effects/safety, Equity) criteria.

Optimized reusable modular 3D-printed models of choledochal cyst to simulate laparoscopic and robotic bilioenteric anastomosis

Laparoscopic and robotic surgery is a challenge to the surgeon's hand–eye coordination ability, which requires constant practice. Traditional mentor training is gradually shifting to simulation training based on various models. Laparoscopic and robotic bilioenteric anastomosis is an important and difficult operation in hepatobiliary surgery. We constructed and optimized the reusable modular 3D-printed models of choledochal cyst. The aim of this study was to verify the ability of this optimized model to distinguish between surgeons with different levels of proficiency and the benefits of repeated practice. A total of 12 surgeons with different levels participated in the study. Operation completion time and OSATS score were recorded. The model was validated by Likert scale. Surgeons were shown the steps and contents before performing laparoscopic or robotic bilioenteric anastomosis using the model. Surgeons with different levels of experience showed different levels when performing laparoscopic bilioenteric anastomosis on this model. Repeated training can significantly shorten the time of laparoscopic bilioenteric anastomosis and improve the operation scores of surgeons with different levels of experience. At the same time, preliminary results have shown that the performance of surgeons on the domestic robotic platform was basically consistent with their laparoscopic skills. This model may distinguish surgeons with different levels of experience and may improve surgical skills through repeated practice. It is worth noting that in order to draw more reliable conclusions, more subjects should be collected and more experiments should be done in the future.

Self-Efficacy and Emotional Intelligence as Predictors of Work Engagement in Peruvian Health Personnel

Background: The crucial role of nurses within the global healthcare system is undeniable, especially considering the high demand and significant stress that characterizes their professional field. From an administrative and human resource management perspective in healthcare, the importance of emotional well-being, along with emotional intelligence and self-efficacy, has emerged as a primary focus of interest in recent research, particularly highlighted in the Peruvian nursing scenario. Objective: This study aimed to understand the relationship between self-efficacy, emotional intelligence, and work engagement among Peruvian nurses, and how these factors might influence the quality of care provided and staff retention in the healthcare sector. Methods: A quantitative analysis was conducted, based on structured surveys that measured levels of self-efficacy, emotional intelligence, and work engagement. The participants were registered nurses in Peru, and the sample was stratified according to different regions and levels of experience. Results: The findings confirmed a positive relationship between self-efficacy and work engagement, corroborating previous research. Furthermore, the positive association between emotional intelligence and work engagement in this professional group was validated. It was evidenced that nurses with higher emotional intelligence and self-efficacy tend to have a greater work engagement, positively affecting the quality of care and their retention in the healthcare sector. Conclusions: Emotional intelligence and self-efficacy are fundamental for the work engagement of Peruvian nurses. These factors not only impact the academic realm but also have essential practical significance in the healthcare sector. The promotion and training in these areas could be crucial to ensure quality care and the emotional well-being of nursing staff.

ASL Spelling Detection Using Deep Learning

Abstract: Understanding American Sign Language is a difficult task for anyone who wish to communicate with the deaf and dumb. It creates a gap between people. This paper introduces a finger spelling recognition system designed to help bridge that gap. Our system uses a camera and specialized CNN architecture to understand hand gestures that represent letters. This approach offers a few key benefits: it uses the familiar alphabet, can be learned quickly, and works for people with different levels of hearing loss or sign language experience. This technology has the potential to make communication much easier for many people, especially in situations where spoken words or traditional signs might not be the best option. It detects the ASL alphabets and constructs words and sentences, also known as Finger-Spelling

Development and validation of an assessment tool for adult simulated ultrasound-guided fascia iliaca block: a prospective monocentric study

BackgroundFascia iliaca block (FIB) is an effective technique for analgesia. While FIB using ultrasound is preferred, there is no current standardised training technique or assessment scale. We aimed to create...

Doppler ultrasonographic measurements of the lateral digital palmar artery in pregnant mares.

Cardiovascular changes have been reported in late pregnancy in mares. However, there are no data on changes in peripheral blood flow. Doppler ultrasound represents a sensitive method for assessing the blood flow directed to the hoof. The aims of this study were to evaluate the blood flow parameters of the lateral palmar digital artery (LPDA) in pregnant mares and to assess intra- and interrater agreement between two observers with different levels of experience. The LPDAs of pregnant Italian Standardbred mares were examined. The vessels were located with B-mode ultrasound and analyzed with color and pulsed wave Doppler. The following parameters were recorded by the operators: heart rate (HR), peak systolic velocity (PSV), end-diastolic velocity (EDV), and resistive index (RI). Measurements were performed between 2 and 3 months of gestation (T1), in the last month of pregnancy (T2) and a week after delivery (T3). Seventeen mares aged 3-18 years met the inclusion criteria. Ultrasound examinations of the LPDA were subjectively easy to perform and well tolerated by the mares. Interrater and intrarater agreement were good and moderate, respectively. The HR was higher at T2 than at T1 and T3. The PSV and RI changed significantly during pregnancy, with higher values at T2 and T3, whereas the EDV remained unchanged throughout the examination. Doppler examination showed that peripheral flow changes were present in mares in late pregnancy. However, the persistence of higher values after delivery invites further investigation to assess the correlation between metabolic/endocrine changes related to pregnancy and Doppler parameters.

Interoperator reproducibility of quantitative ultrasound analysis of hepatic steatosis in participants with suspected MASLD: A prospective study

ObjectivesTo evaluate the reproducibility of tissue attenuation imaging (TAI) and tissue scatter distribution imaging (TSI) measurements in adults with suspected metabolic dysfunction-associated steatotic liver disease (MASLD) between radiologists with varying experience. Materials and methodsParticipants with suspected MASLD were prospectively recruited. TAI and TSI were performed for each participant by two radiologists with different levels of experience. Interoperability reliability was assessed on the basis of Bland-Altman analysis and intraclass correlation coefficients (ICCs). The study determined and compared the diagnostic performance of TAI and TSI with clinical prediction models using proton magnetic resonance spectroscopy (1H-MRS) as a reference. ResultsA total of 180 participants (women, n = 56; men, n = 124, mean age, 46.98 ± 14.92 years; mean BMI, 25.81 ± 4.47) were enrolled from August 2022 to September 2022. Bland-Altman plots showed only slight deviation in the TAI and TSI results of the two radiologists; there was good interoperator reproducibility for TAI (ICC = 0.92) and TSI (ICC = 0.86). Senior and junior radiologists performed examinations labeled as TAI-1 and TSI-1, and TAI-2 and TSI-2, respectively. The areas under the curves (AUCs) of TAI-1, TAI-2, TSI-1, and TAI-2 for the detection of ≥5 % hepatic steatosis were 0.90, 0.96, 0.91 and 0.96, respectively. According to ROC analysis, the diagnostic performance of both radiologists for TAI and TSI was statistically similar and superior to that of the clinical prediction model. ConclusionsTAI and TSI have good reproducibility between radiologists with different levels of experience. Meanwhile, both TAI and TSI demonstrated good diagnostic performance for hepatic steatosis (≥5%), surpassing that of clinical prediction models.

Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid.

Ascites cytology is a cost-effective test for metastatic colorectal cancer (CRC) in the abdominal cavity. However, metastatic carcinoma of the peritoneum is difficult to diagnose based on biopsy findings, and ascitic aspiration cytology has a low sensitivity and specificity and a high inter-observer variability. The aim of the present study was to apply artificial intelligence (AI) to classify benign and malignant cells in ascites cytology patch images of metastatic CRC using a deep convolutional neural network. Datasets were collected from The OPEN AI Dataset Project, a nationwide cytology dataset for AI research. The numbers of patch images used for training, validation, and testing were 56,560, 7068, and 6534, respectively. We evaluated 1041 patch images of benign and metastatic CRC in the ascitic fluid to compare the performance of pathologists and an AI algorithm, and to examine whether the diagnostic accuracy of pathologists improved with the assistance of AI. This AI method showed an accuracy, a sensitivity, and a specificity of 93.74%, 87.76%, and 99.75%, respectively, for the differential diagnosis of malignant and benign ascites. The diagnostic accuracy and sensitivity of the pathologist with the assistance of the proposed AI method increased from 86.8% to 90.5% and from 73.3% to 79.3%, respectively. The proposed deep learning method may assist pathologists with different levels of experience in diagnosing metastatic CRC cells of ascites.

Reproducibility of rCBV in glioblastomas using T2*-weighted perfusion MRI: an evaluation of sampling, normalization, and experience.

The reproducibility of relative cerebral blood volume (rCBV) measurements among readers with different levels of experience is a concern. This study aimed to investigate the inter-reader reproducibility of rCBV measurement of glioblastomas using the hotspot method in dynamic susceptibility contrast perfusion magnetic resonance imaging (DSC-MRI) with various strategies. In this institutional review board-approved single-center study, 30 patients with glioblastoma were retrospectively evaluated with DSC-MRI at a 3.0 Tesla scanner. Three groups of reviewers, including neuroradiologists, general radiologists, and radiology residents, calculated the rCBV based on the number of regions of interest (ROIs) and reference areas. For statistical analysis of feature reproducibility, the intraclass correlation coefficient (ICC) and Bland-Altman plots were used. Analyses were made among individuals, reader groups, reader-group pooling, and a population that contained all of them. For individuals, the highest inter-reader reproducibility was observed between neuroradiologists [ICC: 0.527; 95% confidence interval (CI): 0.21-0.74] and between residents (ICC: 0.513; 95% CI: 0.20-0.73). There was poor reproducibility in the analyses of individuals with different levels of experience (ICC range: 0.296-0.335) and in reader-wise and group-wise pooling (ICC range: 0.296-0.335 and 0.397-0.427, respectively). However, an increase in ICC values was observed when five ROIs were used. In an analysis of all strategies, the ICC for the centrum semiovale was significantly higher than that for contralateral white matter (P < 0.001). The inter-reader reproducibility of rCBV measurement was poor to moderate regardless of whether it was calculated by neuroradiologists, general radiologists, or residents, which may indicate the need for automated methods. Choosing five ROIs and using the centrum semiovale as a reference area may increase reliability for all users.

The validity of general cognitive ability predicting job-specific performance is stable across different levels of job experience.

Decades of research in industrial-organizational psychology have established that measures of general cognitive ability (g) consistently and positively predict job-specific performance to a statistically and practically significant degree across jobs. But is the validity of g stable across different levels of job experience? The present study addresses this question using historical large-scale data across 31 diverse military occupations from the Joint-Service Job Performance Measurement/Enlistment Standards Project (N = 10,088). Across all jobs, results of our meta-analysis find near-zero interactions between Armed Forces Qualification Test score (a composite of math and verbal scores) and time in service when predicting job-specific performance. This finding supports the validity of g for predicting job-specific performance even with increasing job experience and provides no evidence for diminishing validity of g. We discuss the theoretical and practical implications of these findings, along with directions for personnel selection research and practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Results from a cross-specialty consensus on optimal management of patients with chronic kidney disease (CKD): from screening to complications

BackgroundChronic kidney disease (CKD) affects around 10% of the global population and has been estimated to affect around 50% of individuals with type 2 diabetes and 50% of those with...

Learning imaging in axial spondyloarthritis: more than just a matter of experience

ObjectiveReliable interpretation of imaging findings is essential for the diagnosis of axial spondyloarthritis (axSpA) and requires a high level of experience. We investigated experience-dependent differences in diagnostic accuracies using X-ray...

Exploring the Experiences and Support of Nurses as Second Victims After Patient Safety Events in China: A Mixed-Method Approach.

To investigate the current status of experience and support of nurses as second victims and explore its related factors in nurses. A sequential, explanatory, mixed-method study was applied. A total of 406 nurses from seven tertiary hospitals in China were chosen as participants between September to October 2023. The Chinese version of the Second Victim Experience and Support Questionnaire (SVEST), Somatic Complaints of Sub-health Status Questionnaire (SCSSQ) and Generalized Anxiety Disorder (GAD-7) were applied to collect quantitative data. Eight nurses were selected for a qualitative study through in-depth interviews. Through interpretive phenomenological analysis, the interview data were analysed to explore the experience and support of nurses as second victims. Practice distress (15.74±4.97) and psychological distress (15.48±3.74) were the highest dimensions, indicating Chinese nurses experienced second victim-related practice and psychological distress. Nurses with different gender, age, education, marital status, income, working hours, professional titles, and unit types have different levels of second victim-related experience and support (p <0.05). In addition, the score of SVEST was positively associated with SCSSQ (r =0.444) and GAD-7 (r =0.490) (p <0.05). This qualitative study found that the experience and support of nurses as second victims included nurses' perceptions and needs for patient safety events; psychological, physical and practice distress of nurses; and nurses and hospitals coping style after patient safety events. Our findings suggest that nurses who are second victims of patient safety events experience severe practice and psychological distress, indicating that nursing managers should pay attention to psychological and practice distress of nurses after patient safety events and provide effective preventive measures.

A novel method for weighting decision makers for failure mode and effect analysis under intuitionistic fuzzy environment

AbstractThis study introduces an innovative method to implement Failure Mode and Effect Analysis (FMEA) in an Intuitionistic Fuzzy (IF) environment and targets inherent limitations of traditional FMEA, particularly its reliance on precise numerical values that can lead to human subjectivity and compromise accuracy of analysis. The primary aim is to increase the objectivity in evaluating Failure Modes (FMs) in industrial settings, thus enhancing safety and quality assessments. The novel approach integrates the Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) method within an IF framework. An implementation at a defense industry company is performed for evaluation of the FMs by four Decision Makers (DMs), each possessing different levels of experience and system knowledge. A key innovation of this study is the unique weighting methodology applied to DMs, based on predefined rules, which acknowledges and quantifies their varied expertise and insights. Our methodology significantly contributes to the study's practicality and significance in ranking FMs, emphasizing its effectiveness, robustness, and accuracy. The findings reveal that this method greatly reduces the subjectivity found in traditional FMEA, also providing a more detailed and reliable assessment. This is achieved by adapting the analysis to the specific knowledge levels of the DMs, leading to more dependable and objective quality evaluations in industrial processes. The application of this method in the real‐world setting demonstrates its practical relevance and potential for wider adoption.

Reliability Exercise of Ultrasound Salivary Glands in Sjögren's Disease: An International Web Training Initiative.

Major salivary gland ultrasonography (SGUS) demonstrated its good metric properties as an outcome measure for diagnosing primary Sjögren's disease (SD). The objective was to assess SGUS reliability among sonographers with different levels of experience, using web training. Sonographers from expert centers participated in the reliability exercise. Before exercises, training was done by videoconferencing. Reliability of the two most experienced sonographers (MES) was assessed and then compared to other sonographers. Intra-reader and inter-reader reliability of SGUS items were assessed by computing Cohen's κ coefficients. All sets were read twice by all 14 sonographers within a 4-month interval. Intra-reader reliability of MES was almost perfect for homogeneity, substantial for Outcome Measures in Rheumatology (OMERACT) scoring system (OMERACTss). Among LES (less experienced sonographers), reliability was moderate to almost perfect for homogeneity, fair to moderate for OMERACTss, and fair to almost perfect for binary OMERACTss. Inter-reader reliability between MES was almost perfect for homogeneity, substantial for diagnosis, moderate for OMERACTss, and substantial for binary OMERACTss. Compared to MES, reliabilities of LES were moderate to almost perfect for both homogeneity and diagnosis, only fair to moderate for OMERACTss, but increased in binary OMERACTss. Videoconferencing training sessions in an international reliability exercise could be an excellent tool to train experienced and less-experienced sonographers. SGUS homogeneity items is useful to distinguish normal from abnormal salivary glands parenchyma independently of diagnosis. Structural damage evaluations by OMERACT scoring system is a new comprehensive score to diagnose patients with SD and could be easily used by sonographers in a binary method.

A comparative vignette study: Evaluating the potential role of a generative AI model in enhancing clinical decision-making in nursing.

This study explores the potential of a generative artificial intelligence tool (ChatGPT) as clinical support for nurses. Specifically, we aim to assess whether ChatGPT can demonstrate clinical decision-making equivalent to that of expert nurses and novice nursing students. This will be evaluated by comparing ChatGPT responses to clinical scenarios to those of nurses on different levels of experience. This is a cross-sectional study. Emergency room registered nurses (i.e. experts; n = 30) and nursing students (i.e. novices; n = 38) were recruited during March-April 2023. Clinical decision-making was measured using three validated clinical scenarios involving an initial assessment and reevaluation. Clinical decision-making aspects assessed were the accuracy of initial assessments, the appropriateness of recommended tests and resource use and the capacity to reevaluate decisions. Performance was also compared by timing response generations and word counts. Expert nurses and novice students completed online questionnaires (via Qualtrics), while ChatGPT responses were obtained from OpenAI. Concerning aspects of clinical decision-making and compared to novices and experts: (1) ChatGPT exhibited indecisiveness in initial assessments; (2) ChatGPT tended to suggest unnecessary diagnostic tests; (3) When new information required re-evaluation, ChatGPT responses demonstrated inaccurate understanding and inappropriate modifications. In terms of performance, the mean number of words utilized in ChatGPT answers was 27-41 times greater than that utilized by both experts and novices; and responses were provided approximately 4 times faster than those of novices and twice faster than expert nurses. ChatGPT responses maintained logical structure and clarity. A generative AI tool demonstrated indecisiveness and a tendency towards over-triage compared to human clinicians. The study shows that it is important to approach the implementation of ChatGPT as a nurse's digital assistant with caution. More study is needed to optimize the model's training and algorithms to provide accurate healthcare support that aids clinical decision-making. This study adhered to relevant EQUATOR guidelines for reporting observational studies. Patients were not directly involved in the conduct of this study.

3. OBJECTIVE ANALYSIS AND COMPARISON OF STRESS LEVEL DURING ROBOTIC AND CONVENTIONAL LAPAROSCOPIC SURGERY

Abstract Introduction The aim of this study is to objectively analyse the stress experienced by surgeons during the performance of training tasks in robotic and conventional laparoscopic surgery. Methods For the parameters related to stress level, an electrodermal activity sensor (EDA) from the company Movisens was used. This sensor is placed on the subject's ankle using two electrodes that measure the impedance of the skin in the area in order to evaluate the surgeon's level of alertness in micro-siemens (µS). The surgical robot used was the Versius Platform from CMR Surgical. A group of 4 surgeons with different levels of experience (novice or expert) were evaluated under a series of 7 tasks on a physical laparoscopic simulator, with tasks progressively increasing in difficulty. Results Regarding the difference between the two surgical modalities, significantly lower values were obtained when using the robotic platform, with the difference being more pronounced among the less experienced surgeons. In the instance of the expert with prior surgical robotics experience, stress levels were found to be 100 times lower compared to the expert solely experienced in conventional laparoscopy. Conclusion The results show that not only do subjects with superior experience in robotic surgery exhibit lower stress levels, but that novices maintain lower stress levels than experts in conventional laparoscopic surgery due to their lack of predisposition towards a specific surgical discipline.