Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative...
One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It...
Large amounts of fMRI data are essential to building generalized predictive models for brain disease...
This article proposes a model-free kinematic control method with predefined-time convergence for rob...
Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and hav...
BACKGROUND: Laparoscopic cholecystectomy (LC) is the gold standard for treating symptomatic gallston...
Land use changes are of critical importance in understanding and managing environmental sustainabili...
BACKGROUND: Whether machine learning approaches are superior to classical statistical models for sur...
The development of Industry 4.0 has resulted in tremendous transformations in the manufacturing sect...
BACKGROUND: Over the last few decades: heart disease (HD) has emerged as one of the deadliest diseas...
Artificial intelligence and robotics are transforming interventional radiology, driven by advancemen...
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
PURPOSE: Deep convolutional neural networks (CNN) hold promise for assisting the interpretation of d...
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to structure adversarial attack...
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn fr...
The global burden of infectious diseases significantly affects mortality rates, with their varying s...
This paper studies the finite-time optimal stabilization problem of the macro-micro composite positi...
This paper presents a novel methodology for plant disease detection using YOLOv8 (You Only Look Once...
Machine learning (ML) techniques are being widely implemented to fill the gap in simple molecular de...
Conformer ranking is a crucial task for drug discovery, with methods for generating conformers often...