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Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.
J Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFApplication of Artificial Intelligence for quantifying Plasmodium berghei in blood samples from infected mice.
J Vector Borne Dis
October 2024
Department of Biological Sciences, King AbdulAziz University, Jeddah, Makkah, Saudi Arabia.
Background Objectives: In malaria infection, quantifying blood parasitemia is a critical step for evaluating the severity of the disease. This has generally been conducted manually, and thus, its accuracy depends on the expertise of technicians. There is an urgent need for an automated technique to overcome manual errors.
View Article and Find Full Text PDFThe intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS.
PLoS One
January 2025
Department of Artificial Intelligence and Data Science, Sejong University, South Korea.
The adoption of Financial Technology (FinTech), along with the enhancement of Human Resource (HR) competencies, service innovation, and firm growth, plays a crucial role in the development of the banking sector. Despite their importance, obtaining reliable results is often challenging due to the complex, high-dimensional correlations among various features that affect the industry. To address this issue, this research introduces a hybrid Multi-Criteria Decision-Making (MCDM) model that integrates the Entropy-Weighted Method (EWM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
View Article and Find Full Text PDFVitamin D levels and morbidity and mortality in very low birth weight preterm infants.
Andes Pediatr
August 2023
Departamento de Pediatría, Facultad de Medicina, Universidad de Concepción, Concepción, Chile.
Unlabelled: Very low birth weight (VLBW) preterm newborns lack some nutrients such as vitamin D (VD), which is important in the function and development of different systems.
Objective: To evaluate serum levels of 25-OH-VD in VLBW newborns and to describe the possible association between its deficit and frequent morbidities in this population.
Patients And Methods: Cross-sectional study of VLBW newborns (< 1,500 g and/or < 32 weeks of gestational age).
Human or Machine? A Comparative Analysis of Artificial Intelligence-Generated Writing Detection in Personal Statements.
J Phys Ther Educ
January 2025
Introduction: This study examines the ability of human readers, recurrence quantification analysis (RQA), and an online artificial intelligence (AI) detection tool (GPTZero) to distinguish between AI-generated and human-written personal statements in physical therapist education program applications.
Review Of Literature: The emergence of large language models such as ChatGPT and Google Gemini has raised concerns about the authenticity of personal statements. Previous studies have reported varying degrees of success in detecting AI-generated text.
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