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A Comparative Study of Laparoscopic Skills Between Novices and Experts: How to Steepen the Learning Curve.
Cureus
December 2024
Urology, Université Saint-Joseph, Hôtel-Dieu de France University Hospital, Beirut, LBN.
Introduction and aim Laparoscopic surgery has revolutionized the field of surgery over the past few decades. The learning curve in laparoscopy is known to be slow, flat, and complex. This study aims to conduct a comparative analysis of laparoscopic skills, specifically focusing on suturing, knot tying, and needle handling, between novices and experts.
View Article and Find Full Text PDFPsychometric validation of the Diagnostic Assessment Research Tool: Alcohol use disorder module.
Alcohol Alcohol
November 2024
Peter Boris Centre for Addictions Research, St Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, Ontario L8N 3K7, Canada.
Aims: Structured clinical interviewing is considered the gold standard in psychiatric diagnosis. The Diagnostic Assessment Research Tool (DART) is a novel modularized, non-copywritten, semi-structured interview; however, no studies have examined the psychometric properties of its alcohol use disorder (AUD) module. The primary aims of this study were to: (i) validate the factor structure of the DART AUD module and (ii) examine measurement invariance across several key demographic and subgroup factors.
View Article and Find Full Text PDFAssessing the comparative effects of interventions in COPD: a tutorial on network meta-analysis for clinicians.
Respir Res
December 2024
University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK.
To optimize patient outcomes, healthcare decisions should be based on the most up-to-date high-quality evidence. Randomized controlled trials (RCTs) are vital for demonstrating the efficacy of interventions; however, information on how an intervention compares to already available treatments and/or fits into treatment algorithms is sometimes limited. Although different therapeutic classes are available for the treatment of chronic obstructive pulmonary disease (COPD), assessing the relative efficacy of these treatments is challenging.
View Article and Find Full Text PDFClassifying Alzheimer's Disease Using a Finite Basis Physics Neural Network.
Microsc Res Tech
December 2024
Department of Electronics and Communication Engineering, Annamacharaya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India.
The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, interpretability, ethical integration, population variety, and picture standardization must be addressed using deep learning for the functional magnetic resonance imaging (MRI) classification of AD in order to guarantee a trustworthy and practical therapeutic application. In this manuscript Classifying AD using a finite basis physics neural network (CAD-FBPINN) is proposed.
View Article and Find Full Text PDFAn Integrated Rapid Response Model for Pediatric Patients Requiring In-Patient Medical Stabilization: Lessons Learned to Enable Regional Capacity Building.
Healthc Q
October 2024
Julia Orkin, is an associate chief medical officer at The Hospital for Sick Children in Toronto, ON, and a pediatric clinical lead for Ontario Health - Toronto Region.
There was an unprecedented surge in admissions for medical stabilization of pediatric patients with eating disorders during the COVID-19 pandemic in Ontario. Eleven hospitals established an integrated rapid response model to ensure timely in-patient access for these patients. This population was cared for in re-allocated community hospital beds as a result of engaging hospital leadership, strengthening partnerships, consulting experts, leveraging existing resources and developing regional bed access strategies.
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