Latest AI and machine learning research in health policy for healthcare professionals.
Understanding reasons for treatment switching is of significant medical interest, but these factors ...
BACKGROUND: Objective measures and large datasets are needed to determine aspects of the Clinical Le...
ObjectiveCompared with anatomical magnetic resonance imaging modalities, metabolite images from magn...
OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with ...
A rapid and chemical-free method based on hyperspectral imaging (HSI) integrated with artificial int...
OBJECTIVES: Our primary objective was to estimate the realistic impact of an artificial intelligence...
The rapid evolution of large language models (LLMs) and machine learning (ML) presents both signific...
The application of artificial intelligence (AI) in laboratory medicine will revolutionize predictive...
Voluntary visits to the milking robot are the basis of automatic milking system functionality. There...
PURPOSE: Assess patient-centered revisions to our institution's screening mammography letters for BI...
BACKGROUND: Deep-learning networks are promising techniques in dentistry. This study developed and v...
Expanding in vitro fertilization (IVF) access requires improved patient counseling and affordability...
We examine how artificial intelligence (AI) integration in healthcare may create an "efficiency para...
OBJECTIVE: To compare clinical ratings and signal-to-noise ratio (SNR) measures of a commercially av...
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 ...
A timely and accurate understanding of lake water quality is significant for maintaining ecological ...
Image segmentation is a critical step in computational biomedical image analysis, typically evaluate...