Latest AI and machine learning research in surveys for healthcare professionals.
Artificial intelligence (AI) is increasingly used in health care, yet little is known about user acceptability, particularly among older adults. To address this gap, the AI Health Acceptability Evaluation (AI-HAE) was developed to assess perceptions of AI in health management contexts. Thirteen items were created based on the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use ...
Construction delays remain a major challenge, especially in developing countries where financial, administrative, and resource constraints intensify schedule disruptions. This study identifies and prioritizes construction delay factors through a three-phase research framework consisting of a literature review, an expert survey evaluation, and validation using real-life construction projects in Egy...
We externally validated the performance of deep learning (DL) solution for detection of spontaneous intracerebral (ICH), intraventricular (IVH) and su...
As the use of artificial intelligence in education increases, determining student readiness and anxiety has become a necessity; however, the lack of a...
BACKGROUND: Large language models are increasingly becoming a key resource for hemodialysis patients to access information on disease management. Howe...
BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but concerns over data quality, privacy, and provider ...
OBJECTIVE: This study aimed to determine the optimal camera configuration for a markerless motion capture system, which may offer a lower-cost alterna...
This study aims to systematically identify the discriminative features between robotic and natural handwriting and explore how contextual conditions i...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...
INTRODUCTION: The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Acute placental inflammation in the membranes...
OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due ...
Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Method...
The incorporation of artificial intelligence (AI) into nursing education is becoming a key tool to respond to the growing demands for patient safety a...
The rapid advancement of financial technology (FinTech) mandates a thorough investigation into its adverse effects, focusing on cyber risks and system...
Accurate epigenomic profiling is essential for understanding chromatin and gene regulation. Cleavage Under Targets & Tagmentation (CUT&Tag) enables ef...
This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher educat...
The reliability and ethical use of artificial intelligence (AI) in medicine fundamentally depend on the integrity of underlying data. This peer-review...
We conducted a controlled experimental study using the MIMIC-IV database to evaluate the robustness of five clinical classification models under data ...
BACKGROUND: Artificial Intelligence (AI) is increasingly applied in healthcare and is often linked to patient empowerment. However, biases in data, al...
Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce ...