Advancements in deep learning and computer vision provide promising solutions for
medical image analysis, potentially improving healthcare and patient outcomes. However …

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …

Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …

Abstract Background and Objective: Age-related macular degeneration (AMD) is an eye
disease that happens when ageing causes damage to the macula, and it is the leading …

The rapid advancement of computational infrastructure has led to unprecedented growth in
machine learning, deep learning, and computer vision, fundamentally transforming the …

Artificial intelligence (AI) is an emerging technology in healthcare and holds the potential to
disrupt many arms in medical care. In particular, disciplines using medical imaging …

Age-related macular degeneration (AMD) is a typical fundus disease that affects the central
vision of elderly people. It causes difficulties in everyday activities such as reading and …

Deep learning has potential to automate screening, monitoring and grading of disease in
medical images. Pretraining with contrastive learning enables models to extract robust and …

Manual acupuncture (MA) is a widely used type of therapy method in the world, its treatment
result and clinical safety are highly related to the selection of stimulation parameters …