Latest AI and machine learning research in work force for healthcare professionals.
Data augmentation for domain-specific image classification tasks often struggles to simultaneously...
Despite recent advances in text-to-image generation, using synthetically generated data seldom bri...
Background and Objective: Precise preoperative planning and effective physician training for coron...
BACKGROUND: The global shortage of mental health professionals, exacerbated by increasing mental hea...
Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale...
: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...
Machine learning interatomic potentials (MLIPs) offer a promising alternative to traditional force f...
Chemical synthesis planning has considerably benefited from advances in the field of machine learnin...
There are some key problems faced in modern agriculture that IoT-based smart farming. These problems...
Bed-based pressure-sensitive mats (PSMs) offer a non-intrusive way of monitoring patients during s...
Humanoid loco-manipulation holds transformative potential for daily service and industrial tasks, ...
Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecologi...
: In 2010, approximately 60.5 million people were affected by glaucoma, making it the leading cause ...
Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods ...
Recent advances in personalized MLLMs enable effective capture of user-specific concepts, supporti...
MOTIVATION: Molecular property prediction with deep learning has accelerated drug discovery and retr...
Large language models (LLMs) have achieved impressive performance across various domains. However,...
PURPOSE: This study reports the implementation of a proof-of-concept, artificial intelligence (AI)-d...
Artificial intelligence (AI) has rapidly reshaped the global practice of nuclear medicine. Through t...
Generative artificial intelligence, including large language models (LLMs), holds immense potential ...
BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care...