Latest AI and machine learning research in preventive care for healthcare professionals.
With the growing significance of artificial intelligence in healthcare, new perspectives are emergin...
This article reviews literature on the use of artificial intelligence (AI) for screening, diagnosis,...
OBJECTIVES: In this article, we provide a database of nonproliferative diabetes retinopathy, which f...
This article illustrates novel quantitative methods to estimate classification consistency in machin...
Breast cancer is a leading cause of mortality among women, both in India and globally. The prevalenc...
 This study surveyed 51 specialist clinicians for their views on existing cognitive screening tests ...
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography ...
OBJECTIVES: Despite nearly universal prenatal ultrasound screening programs, congenital heart defect...
The greatest challenge in drug discovery remains the high rate of attrition across the different pha...
Embryo quality is a critical determinant of clinical outcomes in assisted reproductive technology (A...
To explore the application of manual screening collaborated with the Artificial Intelligence TPS-As...
PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunizati...
Enzymes are closely associated with the onset and progression of numerous diseases, making enzymes a...
PURPOSE: Real-world evaluation of a deep learning model that prioritizes patients based on risk of p...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...
Background Breast screening enables early detection of cancers; however, most women have normal mamm...
IMPORTANCE: Retinal diseases are the leading cause of irreversible blindness worldwide, and timely d...
This paper describes the latest development in the classification stage of our Speech Sound Disorder...