Latest AI and machine learning research in product alert for healthcare professionals.
OBJECTIVE: Patients discharged from hospitals to skilled nursing facilities (SNFs) for post-acute ca...
The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare environments has ...
BACKGROUND AND OBJECTIVE: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approac...
INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for lea...
Large language models (LLMs) are increasingly embedded in search, productivity tools, and autonomous...
PURPOSE: To develop and evaluate a 3D deep learning model for detecting superior mesenteric artery o...
Artificial intelligence (AI) is being increasingly used in dermatology education and research as dig...
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoisi...
Semi-solid extrusion three-dimensional printing (SSE-3DP) technology has emerged as a versatile manu...
Drying of medicinal plants and spices (MPS) is a critical post-harvest operation for extending shelf...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD)...
OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major ...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, c...
BACKGROUND: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning w...
BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering f...
Pharmacoepidemiological studies have expanded the capacity to detect therapeutic benefits and advers...
Sleep spindles and K-complexes in electroencephalo gram (EEG) signals are brief yet physiologically ...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to tradit...
The Go/No-Go task is one of the most commonly used paradigms in psychological research, yet traditio...
BACKGROUND: Deep learning enables the extraction of ischemic lesion size and hypodensity imaging mar...
PURPOSE: Interpretability is highly desirable for oncologic outcome prediction, as it increases the ...