Latest AI and machine learning research in product alert for healthcare professionals.
BACKGROUND: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies to predict response that allow interventions to be targeted rather than routine. Currently, no such predictive technologies are available in the United Kingdom. The Subreal app is available for use in research contexts, but no clinical data specific...
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA). METHODS: In this IRB-approved, post-hoc study, consecutive patients underwent clinically indicated CCTA on a third-generation dual-source CT scanner using a fast-pitch protocol and fully patient-tailored contrast injection. Images were reconstruct...
Semi-solid extrusion three-dimensional printing (SSE-3DP) technology has emerged as a versatile manufacturing approach across a wide array of industri...
BACKGROUND: Root Cause Analysis (RCA) is widely used in healthcare incident investigation, but its outputs can be limited by inconsistent causal frami...
Drying of medicinal plants and spices (MPS) is a critical post-harvest operation for extending shelf life and preserving bioactive compounds, sensory ...
OBJECTIVES: Early vocal changes such as hoarseness or voice fatigue are common and often attributed to normal aging or benign conditions, which can de...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...
OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp i...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited t...
BACKGROUND: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning worldwide. In mainland China, maintaining engagemen...
BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve quality of life in patients with drug-resistant ep...
BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical...
BACKGROUND: Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy made a breakthrough in treating essential tremor (ET), but with variable...
OBJECTIVES: This study aimed to develop and implement robotic process automation (RPA) for identifying missing codes during insurance claim post-revie...
Sleep spindles and K-complexes in electroencephalo gram (EEG) signals are brief yet physiologically essential signatures of the sleeping brain, suppor...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies al...
The Go/No-Go task is one of the most commonly used paradigms in psychological research, yet traditional studies rely on single event-related potential...
Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) ...
As in many other fields, artificial intelligence (AI) is transforming daily activities in cardiology. In pharmacological therapy, algorithms have been...
Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obstruction at the renal pelvis-ureter junction. Magn...