Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary fu...
In recent years, the market for wearable devices has been rapidly growing, with much of the demand f...
BACKGROUND: Text-based digital media platforms have revolutionized communication and information sha...
HIV/AIDS remains one of the world's most significant public health and economic challenges, with app...
The potential of artificial intelligence (AI) in medicine lies in its ability to enhance clinicians'...
BACKGROUND: Depression is a global mental disorder, and traditional diagnostic methods mainly rely o...
Artificial intelligence (AI) broadly influences different aspects of human life, especially human co...
The older population of United States is growing, with more adults having complicated medical condit...
This response letter answers a query regarding our study on the use of the Midjourney app in aesthet...
The rapid evolution of highly adaptable and reusable artificial intelligence models facilitates the ...
Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentiona...
Extracellular vesicle (EV) molecular phenotyping offers enormous opportunities for cancer diagnostic...
Federated learning (FL) enables collaborative training of machine learning models across distributed...
With the rapid development of modern communication technology, it has become a core problem in the f...
Accurate prediction of pneumoconiosis is essential for individualized early prevention and treatment...
The growing prominence of artificial intelligence (AI) in mobile health (mHealth) has given rise to ...
Accurate multi-step ahead flood forecasting is crucial for flood prevention and mitigation efforts a...
This paper investigates containment control for fractional-order networked systems. Two novel interm...
PURPOSE OF REVIEW: This review examines the current state and future prospects of machine learning (...
Venous thromboembolism (VTE) is the leading cause of preventable death in hospitalized patients. Art...
Multi-center disease diagnosis aims to build a global model for all involved medical centers. Due to...