Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Unsupervised domain adaptive (UDA) semantic segmentation intends to perform satisfactory dense prediction on unannotated target (real-world) images by leveraging a learned model trained on annotated source (synthetic) images. Although many models have achieved remarkable performance by utilizing attention mechanisms, they rarely focus on large-region semantic categories that typically occupy a lar...
Automation software has improved accuracy, efficiency, and reproducibility in transthoracic echocardiography, but its role in transesophageal echocardiography (TEE) is less well established. Given rapid technological advances and heterogeneity among available tools, a comprehensive overview of current evidence is warranted. This scoping review aimed to map the literature on automation software for...
BACKGROUND: Patients undergoing anterior cruciate ligament reconstruction (ACLR) are at high risk of osteoarthritis or secondary injuries, with abnorm...
Computer informatics is integral to infection control, a role that will grow as surveillance and reporting become increasingly automated. Surveillance...
Monitoring of psychoactive drugs and their metabolites in wastewater is critical to understanding their environmental fate and potential impacts. Pass...
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks...
OBJECTIVE: Maxillary canine impaction affects approximately 1-3% of the population and presents diagnostic, prognostic, and therapeutic challenges. Th...
KDIGO stage-3 acute kidney injury (AKI), a life-threatening complication in critically ill patients with traumatic cervicothoracic spinal cord injury ...
BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the global shortage of pathologists and the unequal distr...
BACKGROUND: Digital biomarkers are gaining interest as proxy markers for mental health, as they enable passive and continuous data collection. However...
Cardiovascular disease (CVD) remains the leading cause of death among women globally, with significant mortality and poorer outcomes compared with men...
OBJECTIVE: To examine how continually updated, living evidence and gap maps (L-EGMs) with an online presence report planned update schedules, retireme...
BACKGROUND: Artificial intelligence (AI) is increasingly embedded in radiology research and practice, yet concerns about the reproducibility of AI stu...
OBJECTIVES: This scoping review examined the current application of artificial intelligence (AI)/machine learning (ML) models on social media platform...
Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), is a significant complication in surgical patients. Ar...
PURPOSE: Although evidence-based practice (EBP) promotes better clinical practice, implementing it in speech-language pathology is challenging. A limi...
AIM: This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically ...
Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise,...
Single-cell RNA sequencing (scRNA-seq) has become a pivotal tool for resolving cellular heterogeneity and uncovering novel cell states. While deep lea...
BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists' real-world adoption patte...