AI Article Synopsis
Article Abstract
This article discusses group practice as a tactic to promote learning in health education, and the concept of group and its implications on learning. What type of care is needed to develop health education strategies that will generate participation, exchange of experiences, and promote positive changes in the daily life of those involved. It is proposed that groups are a care alternative that needs to be included in the professional daily life, aiming at changing one-dimensional views of health care.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Dynamics and triggers of misinformation on vaccines.
PLoS One
January 2025
Centro Ricerche Enrico Fermi, Rome, Italy.
The Covid-19 pandemic has sparked renewed attention to the risks of online misinformation, emphasizing its impact on individuals' quality of life through the spread of health-related myths and misconceptions. In this study, we analyze 6 years (2016-2021) of Italian vaccine debate across diverse social media platforms (Facebook, Instagram, Twitter, YouTube), encompassing all major news sources-both questionable and reliable. We first use the symbolic transfer entropy analysis of news production time-series to dynamically determine which category of sources, questionable or reliable, causally drives the agenda on vaccines.
View Article and Find Full Text PDFComparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques.
Clin Exp Nephrol
January 2025
Kawasaki Medical School, Department of Nephrology and Hypertension, Kurashiki, Japan.
Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.
View Article and Find Full Text PDFDesign and validation of the reflection skills self-assessment questionnaire (RSSAQ).
J Educ Health Promot
November 2024
Medical Education Research Center, Medical Education Department, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: Reflection is one of the main components of the medical sciences curriculum. It is one of the learner-centered educational strategies, leading to deep learning, and is necessary to attain professional capabilities. A pertinent challenge is how to assess reflection.
View Article and Find Full Text PDFEvaluating the Diagnostic Accuracy and Challenges of the Two-Week Wait Referral Pathway for Skin Cancers in Primary Care.
Cureus
January 2025
Consultation-Liaison Psychiatry, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, GBR.
Skin cancers are among the most common cancers in the Western world, with incidence rates increasing significantly over time. Skin cancer survival rates are highly dependent upon early identification. In the United Kingdom (UK), initial assessment of skin lesions is carried out via general practitioners (GPs) who identify and refer suspected cases under the two-week pathway in compliance with the National Institute for Health and Care Excellence (NICE) guidelines.
View Article and Find Full Text PDFFrontal plane mechanical leg alignment estimation from knee x-rays using deep learning.
Osteoarthr Cartil Open
March 2025
Department for Health Sciences, Medicine and Research, University of Continuing Education Krems, Krems, Austria.
Objective: Lower limb malalignment can complicate symptoms and accelerate knee osteoarthritis (OA), necessitating consideration in study population selection. In this study, we develop and validate a deep learning model that classifies leg alignment as "normal" or "malaligned" from knee antero-posterior (AP)/postero-anterior (PA) radiographs alone, using an adjustable hip-knee-ankle (HKA) angle threshold.
Material And Methods: We utilized 8878 digital radiographs, including 6181 AP/PA full-leg x-rays (LLRs) and 2697 AP/PA knee x-rays (2292 with positioning frame, 405 without).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!