Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Stroke remains a leading cause of mortality and long-term disability worldwide, while currently used clinical risk prediction tools demonstrate only moderate accuracy. Retinal imaging combined with artificial intelligence has emerged as a promising non-invasive approach for improving stroke risk stratification by capturing microvascular changes that reflect cerebrovascular health. METH...
Recently, a structured approach to renal mass characterization known as the Kidney Imaging Reporting and Data System (KI-RADS) was proposed. In that proposal, the authors noted the need for imaging characteristics to be rooted in the biological underpinnings of the tumors in order to optimally risk stratify patients with indeterminate renal masses. Although multi-parametric magnetic resonance imag...
BACKGROUND: Stress, as commonly recognized, is an integral part of modern life and can significantly affect both mental and physical health. While sub...
BACKGROUND: Recent advances in large language models (LLMs) such as GPT-3/4 have spurred the development of artificial intelligence (AI) chatbots and ...
BACKGROUND: Sleep apnea (SA) is a serious sleep disorder, and its diagnostic gold standard, polysomnography, is costly and time-consuming. Electroence...
INTRODUCTION: Digital health technologies are increasingly used across oncology services, but the available evidence remains concentrated on patient-f...
BACKGROUND AND OBJECTIVE: Machine learning (ML) prognostic models in orthopedic surgery are published at an accelerating pace, yet whether reporting m...
AIM: This study explores nursing educators' perspectives on the challenges and benefits of integrating generative artificial intelligence (AI) into nu...
Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are often evaluated by average accuracy, while confor...
Artificial intelligence (AI) has been increasingly integrated into autism interventions to support personalization and scalability; however, the stren...
Liquid biopsy is a promising, noninvasive approach for cancer detection, but current methods often trade off accuracy, operability, and cost. To addre...
Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...
BACKGROUND: Agriculture is widely acknowledged as a dangerous industry for workers. Agriculture workers are also older compared with other industries,...
Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...
AIM: To explore how nursing students described and interpreted their use of generative artificial intelligence in relation to workplace violence durin...
OBJECTIVES: We aimed to estimate the time required to review and report cervical cytology slides within a Human Papillomavirus (HPV)-primary cervical ...
OBJECTIVE: This scoping review will map the scope and nature of the available evidence on the use of artificial intelligence-based clinical decision s...
AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and...
BACKGROUND: Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automate image interpretation, and support clinical deci...
As artificial intelligence (AI), particularly generative AI, is being actively introduced and utilized in medical research and manuscript writing, new...