Objective: The aim of the study was to determine if laparoscopic skills acquisition will be superior with the use of 3D-enhanced training models with increased dimensionality and spatial complexity compared to standard 3D LapPass training models in novice medical students. We hypothesized that adopting low-fidelity, 3D-enhanced training models in the 2D visual modality may expedite adaptation to monocular cues related to depth perception, enhancing performance.
Design: A prospective, single-center, 2-arm, randomized controlled trial with participants randomized equally into either 3D-enhanced or standard 3D group (allocation ratio 1:1, block sizes 2 and 4) performing 2 standardized laparoscopic tasks: (1) polo grasping and manipulation and (2) intracorporeal suturing. Performance was assessed using the Global Operative Assessment of Laparoscopic Skills (GOALS) tool, completion time, and number of errors, with evaluations at baseline, interim, and post-training for each task. A post-study survey measured participant-perceived confidence and performance (ID: NCT06184854).
Setting: Barts Cancer Institute, Queen Mary University of London, UK.
Participants: Sixty-five medical students, all novices in laparoscopic surgery, were enrolled, with 3 dropouts.
Results: Thirty-one participants in each group completed the study with homogeneity regarding demographic data (p > 0.05). Both groups had significantly superior performance post-training compared to baseline in the 2 tasks (intragroup comparison, p < 0.017). In the intergroup comparison, the 3D-enhanced group had statistically significantly greater improvements in the GOALS score parameter and depth perception domain across all comparisons for both tasks (p < 0.05). Time improvement and error reduction also favored the 3D-enhanced group, however, without reaching statistical significance. In the post-study survey, the 3D-enhanced group reported significantly greater perceived post-training confidence and performance in the suturing task alone (p < 0.05).
Conclusions: The use of 3D-enhanced training models resulted in superior laparoscopic skills acquisition for novices in 2 tasks compared to standard 3D LapPass models. Therefore, incorporating 3D-enhanced models into laparoscopic training curricula alongside standard 3D LapPass models can supplement learning. Further work should focus on long-term efficacy with a competency-based endpoint.
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http://dx.doi.org/10.1016/j.jsurg.2024.08.028 | DOI Listing |
Int J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Urology, Shiyan People's Hospital, Jinzhou Medical University Training Base, Shiyan, China.
The aim of this study was to evaluate the clinical benefits and outcomes of adjuvant radiation therapy on adrenocortical carcinoma (ACC) patients. All patients with ACC that were reported between 2010 and 2015 were identified from the Surveillance, Epidemiology, and End Results database. A forward-stepwise Cox proportional hazards regression was used to identify independent risk factors.
View Article and Find Full Text PDFJ Neurosurg
January 2025
Departments of1Neurosurgery.
Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
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