Deep neural networks have demonstrated the capability of solving classification problems
using hierarchical models, and fuzzy image preprocessing has proven to be efficient in …

Diabetes Mellitus (DM) is one of the well known metabolic illnesses. It occurs due to an
excessive high level of the body's blood sugar. I fact, this disease affects 463 million people …

The detection of diabetic retinopathy eye disease is a time-consuming and labor-intensive
process, that necessitates an ophthalmologist to investigate, assess digital color fundus …

Artificial Intelligence (AI) knows a high exploitation in medical computing to enhance patient
care by accelerating processes and increasing accuracy, thus providing improvements …

Bone age assessments are methods that doctors use in pediatric medicine. They are used to
assess the growth of children by analyzing X-ray images. This work focuses on the …

Diabetic Retinopathy (DR), a common diabetes complication affecting retinal blood vessels,
may result in vision damage if not addressed promptly. Early and accurate detection is …

The healthcare industry has witnessed the emergence of deep learning (DL) along with
blockchain technologies as potent instruments with considerable potential for transforming …

This paper proposes a new convolutional neuronal network architecture for pneumonia
detection in pediatric healthcare. The model was constructed from the scratch and was …

Machine learning models have proven their use in the medical field, assisting physicians in
early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could …

Fractures occurring in the cervical spine are a severe medical condition that can have fatal
consequences or result in permanent paralysis that lasts a lifetime. Rapid identification and …