Deep learning is a sub-field of artificial intelligence that combines feature engineering and
classification in one method. It is a data-driven technique that optimises a predictive model …

Artificial intelligence techniques are now being applied in different medical solutions ranging
from disease screening to activity recognition and computer-aided diagnosis. The …

It is feasible to recognize the presence and seriousness of eye disease by investigating the
progressions in retinal biological structures. Fundus examination is a diagnostic procedure …

Detecting eye diseases early can make a difference when trying to treat them. Existing
diagnostic systems are not only prone to inaccurate judgments, but are also difficult and …

Telemedicine has traditionally been applied within remote settings to overcome
geographical barriers to healthcare access, providing an alternate means of connecting …

Despite the rapid development of optical imaging methods, high-resolution in vivo imaging
with penetration into deeper tissue layers is still a major challenge. Optical coherence …

Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

In recent years, the severity classification of some well-known diseases has gradually
become a focus of researchers, especially diabetic retinopathy (DR) recognition caused by …

Crafting effective deep learning models for medical image analysis is a complex task,
particularly in cases where the medical image dataset lacks significant inter-class variation …

Acne vulgaris, the most common skin disease, can cause substantial economic and
psychological impacts to the people it affects, and its accurate grading plays a crucial role in …