Latest AI and machine learning research in health policy for healthcare professionals.
Heart disease is becoming more and more common in modern society because of factors like stress, ina...
Digital medicine and smart healthcare will not be realised without the cognizant participation of cl...
Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a me...
Understanding reasons for treatment switching is of significant medical interest, but these factors ...
OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with ...
The rapid evolution of large language models (LLMs) and machine learning (ML) presents both signific...
Voluntary visits to the milking robot are the basis of automatic milking system functionality. There...
As public awareness of environmental and health issues grows, providing accurate and accessible envi...
Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Tr...
The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) an...
BACKGROUND: Patients frequently resort to the internet to access information about cancer. However, ...
BACKGROUND: Air pollution poses a significant threat to public health. Low-cost air quality sensors ...
Image segmentation is a critical step in computational biomedical image analysis, typically evaluate...
Environmental disasters are becoming increasingly frequent and severe, disproportionately impacting ...
Cardiovascular diseases remain one of the leading causes of death worldwide, placing a significant b...
Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...
Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed ...
Over 2 billion people worldwide are impacted by the global dilemma of access to clean and safe drink...
The Artificial Intelligence-enabled Internet of Medical Things (AI-IoMT) envisions the connectivity ...
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for t...
Brain-computer interfaces (BCIs) represent a transformative innovation in healthcare, enabling direc...