Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million...
: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published st...
This study aimed to develop a fully automated semantic placenta segmentation model that integrates t...
U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various maligna...
BACKGROUND: Physical activity plays a crucial role in maintaining health and preventing chronic dise...
BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regard...
Phosphorus is essential for life and critically influences marine productivity. Despite geochemical ...
PURPOSE: Accurate patient dosimetry estimates from fluoroscopically-guided interventions (FGIs) are ...
Person re-identification (re-ID) models often fail to generalize well when deployed to other camera ...
As a widely-used machine translation task, text image machine translation (TIMT) aims to translate t...
In deep learning, initializing models with pre-trained weights has become the de facto practice for ...
Machine-learning models demand periodic updates to improve their average accuracy, exploiting novel ...
INTRODUCTION: Feedback and reinforcement signals in the brain act as natures sophisticated teaching ...
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener'...
The field of molecular representation has witnessed a shift towards models trained on molecular stru...
BACKGROUND: Virtual reality (VR) simulators are increasingly used in dental education, offering adva...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology...
BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is ha...
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small poly...
Synthetic and naturally occurring particles, such as nanoparticles (NPs) and exosomes; a type of ext...
Anomaly detection in intelligent surveillance system is an important and challenging task, which com...