Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
This paper aims to identify key factors influencing elder abuse within the family and to further exp...
Deep learning (DL)-based human activity recognition (HAR) has attracted considerable attention owing...
The activation of dihydrogen by transition-metal monoxide cations (MO) in the gas phase offers valua...
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical...
Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...
Next mobile app prediction aims to recommend the apps that users will most likely to use next based ...
Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...
A growing number of studies have compared human and AI creative performance. These studies differ in...
Recently, various self-supervised learning (SSL) methods based on 3D graph neural networks (GNNs) ha...
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, ...
Mapping cell distributions across spatial locations with whole-genome coverage is essential for unde...
Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...
BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as...
This study focuses on the impact of learning experience on college students' deep learning of Englis...
With the advancement of deep learning, robotic grasping has seen widespread application in fields, b...
Estimating the individuals' potential response to varying treatment doses is crucial for decision-ma...
The rising costs and labor shortages have sparked interest in machine harvesting of fresh-market blu...
Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient project...
Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in...
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short v...
Precise segmentation and uncertainty estimation are crucial for error identification and correction ...