Results 21 to 30 of about 746,368 (310)

Impact of Computer-Assisted System on the Learning Curve and Quality in Esophagogastroduodenoscopy: Randomized Controlled Trial

open access: yesFrontiers in Medicine, 2021
Background and Aims: To investigate the impact of the computer-assisted system on esophagogastroduodenoscopy (EGD) training for novice trainees in a prospective randomized controlled trial.Methods: We have constructed a computer-aided system (CAD) using ...
Li Huang   +46 more
doaj   +1 more source

Behind the Learning Curve

open access: yesAnnals of Business Administrative Science, 2013
The learning curve depicts a decrease in production cost per unit as cumulative volume increases. However, a learning curve does not realize even if the history of production translates into an increase of cumulative volume. It is major premises for cost
Nobuo TAKAHASHI
doaj   +1 more source

The impact of assistants’ reverse alignment surgical skill proficiency on laparoscopic colorectal surgery [PDF]

open access: yesAnnals of Coloproctology, 2022
Purpose We aimed to investigate the difference in the surgical outcome based on whether the assistant overcame the mirror image in laparoscopic colorectal surgery.
Seunghun Lee
doaj   +1 more source

Effect of training and individual operator's expertise on prostate cancer detection through prostate biopsy: Implications for the current quantitative training evaluation system [PDF]

open access: yesInvestigative and Clinical Urology, 2021
Purpose: This study was conducted to evaluate the relevance of training and experience to gaining expertise in prostate biopsy based on an assessment of outcomes from the performance of urology residents.
Dongu Lee, Byung Ha Chung, Kwang Suk Lee
doaj   +1 more source

Learning curve in performing palatoplasty: A retrospective study

open access: yesJournal of Cleft Lip Palate and Craniofacial Anomalies, 2022
Objectives: The aim of the study was to assess the influence of the experience of the surgeon on the occurrence of fistulas and breakdowns following palatoplasty.
P Varun Menon   +3 more
doaj   +1 more source

Percutaneous Nephrolithotomy in the Modified Flank Free Supine Position: An Observational Prospective Study to Identify the Surgeon’s Learning Curve [PDF]

open access: yesInternational Journal of Medical Arts, 2021
Background: Percutaneous nephrolithotomy was usually practiced in prone position. However, there is a recent shift towards supine position. This shift needs a continuous practice to increase the surgeon’s learning curve. Aims: To give an insight into the
Ahmed Abdel Gawad, Ahmed Aboelsaad
doaj   +1 more source

Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation [PDF]

open access: yesarXiv, 2023
Recent automated machine learning systems often use learning curves ranking models to inform decisions about when to stop unpromising trials and identify better model configurations. In this paper, we present a novel learning curve ranking model specifically tailored for ranking normalized entropy (NE) learning curves, which are commonly used in online
arxiv  

Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves [PDF]

open access: yes, 2022
Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for machine learning (ML) applications within pharmacology. One such application not yet given close study is the unsupervised clustering of plasma concentration-time curves ...
arxiv   +1 more source

10 reasons why surgeons should continue performing flexible endoscopy

open access: yesJournal of Minimal Access Surgery, 2022
Diagnostic and therapeutic potentials of flexible endoscopy have been increasing. Several surgical procedures are now performed in flexible endoscopic platform.
Easwaramoorthy Sundaram   +1 more
doaj   +1 more source

The Shape of Learning Curves: a Review [PDF]

open access: yesarXiv, 2021
Learning curves provide insight into the dependence of a learner's generalization performance on the training set size. This important tool can be used for model selection, to predict the effect of more training data, and to reduce the computational complexity of model training and hyperparameter tuning.
arxiv  

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