Latest AI and machine learning research in surveys for healthcare professionals.
This study expands Califf's technostress model, which explores the psychological stress caused by te...
Online, text-based meta-analysis tools for large databases represent a new digital advance for medic...
RATIONALE AND OBJECTIVES: To provide a context-aware evaluation of deep learning algorithms for vert...
BACKGROUND AND OBJECTIVES: Deep brain stimulation (DBS) is an effective treatment of essential tremo...
BACKGROUND: Existing atrial fibrillation (AF) risk prediction models incorporate race as a covariate...
Currently, most existing datasets predominantly focus on object classification based on appearance, ...
OBJECTIVES: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) mode...
PURPOSE: This study aimed to evaluate the content validity and inter-rater reliability of stuttering...
INTRODUCTION: Self-care and self-medication are increasingly viewed as helpful approaches to managin...
ObjectiveTo evaluate the accuracy of the artificial intelligence (AI)-powered orthodontic imaging sy...
OBJECTIVES: To develop and evaluate automated segmentation models for the liver and hepatic tumors o...
Large Language Models (LLMs) have become central to numerous natural language processing tasks, but ...
AIMS: Artificial intelligence models can estimate a person's age from ECG. The gap between the predi...
Accurate assessment of jumping is important for sports performance and rehabilitation. While laborat...
BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-P...
BACKGROUND: Current research has focused on the use of large language models (LLMs) to augment syste...
INTRODUCTION: Assessment of clinical performance has traditionally been a numbers game based upon Li...
This paper introduces Hermite-type Neural Network (HNN) operators and their integral-based extension...
OBJECTIVE: Although large language models are increasingly used in clinical and research settings, t...
BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by t...
INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing e...