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| http://dx.doi.org/10.1177/014107680209500115 | DOI Listing |
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Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.
World J Emerg Surg
December 2024
Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands.
Background: Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, with appendicitis being a prevalent AAP etiology often necessitating surgical intervention. The variability in AAP symptoms and causes, combined with the challenge of identifying appendicitis, complicate timely intervention. To estimate the risk of appendicitis, scoring systems such as the Alvarado score have been developed.
View Article and Find Full Text PDFValidity and reliability of a method to estimate the potential harm of medication errors by considering both the likelihood and degree of harm.
Int J Pharm Pract
December 2024
Department of Life Sciences, University of Bath, Bath, United Kingdom.
Objectives: To develop a tool to 'risk score' the potential harm of a medication error by estimating the probability of a range of potential consequences, and assess its feasibility, validity, and reliability.
Methods: The risk score tool described five levels of potential harm developed from an existing risk matrix. Judges estimated the likelihood of harm matching each level, from which a risk score (0-10) was calculated.
Just-in-time training could be just what the doctor ordered.
BMJ
December 2024
School of Clinical Medicine, UNSW Medicine and Health South West Sydney Clinical Campus, Sydney, NSW, Australia
Fears about artificial intelligence across 20 countries and six domains of application.
Am Psychol
December 2024
Center for Humans and Machines, Max Planck Institute for Human Development.
The frontier of artificial intelligence (AI) is constantly moving, raising fears and concerns whenever AI is deployed in a new occupation. Some of these fears are legitimate and should be addressed by AI developers-but others may result from psychological barriers, suppressing the uptake of a beneficial technology. Here, we show that country-level variations across occupations can be predicted by a psychological model at the individual level.
View Article and Find Full Text PDFMisinformation and Readability of Social Media Content on Pediatric Ankyloglossia and Other Oral Ties.
JAMA Otolaryngol Head Neck Surg
December 2024
Department of Otolaryngology-Head and Neck Surgery, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Importance: Diagnosis of pediatric ankyloglossia and other oral ties is increasing in part due to social media, leading to more frenotomies and excess medicalization of often normal anatomy.
Objective: To assess the accuracy and readability of social media content on pediatric ankyloglossia and other oral ties.
Design, Setting, And Participants: In this cross-sectional study, the top 200 posts on an image-based social media platform tagged with #tonguetie, #liptie, or #buccaltie were collected using a de novo account on March 27, 2023.
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