Purpose: The aim of the study was to evaluate operative time and postoperative complications of 4 post-training specialized surgeons.
Methods: This was a pilot retrospective chart review to determine the learning curve of a Shouldice primary inguinal hernia repair (Shouldice Repair) of 4 post-training specialized surgeons, at the Shouldice Hospital. The first 300 Shouldice Repairs (early learning block) were compared to their 900-1,000 repairs as the primary operating surgeon (late learning block). Data was collected from the hospital's database. The learning curve was examined using cumulative sum analysis (CUSUM).
Results: During the early learning block cases, the surgeons had a mean operating time of 59.2 ± 11.2 min. The late learning block cases had significantly reduced operative time (53.4 ± 10.5 min, p = 0.001). According to the CUSUM analysis all four surgeons had a plateau after 78 to 88 operations in terms of operative time. A nonsignificant reduction in the rate of reported recurrences (n = 16 vs. n = 0) and surgical site occurrences (haematoma, seroma, infection; n = 27 vs. n = 2) was found between the early and late learning block cases.
Conclusion: The operating time plateaued after 78-88 Shouldice Repairs for the 4 surgeons trained and working at the Shouldice Hospital. A nonsignificant trend towards fewer complications were noted among late learning block cases.
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http://dx.doi.org/10.1007/s10029-024-03252-0 | DOI Listing |
Hernia
January 2025
Department of Surgery, Shouldice Hospital, Markham, ON, Canada.
Purpose: The aim of the study was to evaluate operative time and postoperative complications of 4 post-training specialized surgeons.
Methods: This was a pilot retrospective chart review to determine the learning curve of a Shouldice primary inguinal hernia repair (Shouldice Repair) of 4 post-training specialized surgeons, at the Shouldice Hospital. The first 300 Shouldice Repairs (early learning block) were compared to their 900-1,000 repairs as the primary operating surgeon (late learning block).
J Exp Psychol Hum Percept Perform
January 2025
School of Psychology, University of Sussex.
Human listeners have a remarkable capacity to adapt to severe distortions of the speech signal. Previous work indicates that perceptual learning of degraded speech reflects changes to sublexical representations, though the precise format of these representations has not yet been established. Inspired by the neurophysiology of auditory cortex, we hypothesized that perceptual learning involves changes to perceptual representations that are tuned to acoustic modulations of the speech signal.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Front Neuroinform
January 2025
Department of Computer Science and Engineering, Institute of Technology, Nirma University, Gujarat, India.
Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.
Methods: A ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters.
BMC Neurosci
January 2025
National Brain Research Centre, Manesar, Gurugram, 122052, Haryana, India.
Delta-opioid receptors (δ-ORs) are known to be involved in associative learning and modulating motivational states. We wanted to study if they were also involved in naturally-occurring reinforcement learning behaviors such as vocal learning, using the zebra finch model system. Zebra finches learn to vocalize early in development and song learning in males is affected by factors such as the social environment and internal reward, both of which are modulated by endogenous opioids.
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