Computer-aided diagnosis (CAD) has revolutionized the field of medical diagnosis. They
assist in improving the treatment potentials and intensify the survival frequency by early …

Objectives Currently, there is an active use of neural networks in various areas of human
activity. Problems of recognition, diagnostics, optimization, forecasting, control, as well as …

The growing health and economic burden of bone fractures, their intricate multiscale
features and the existing knowledge gaps in the comprehension of micro-scale bone …

Many individuals visit rural telemedicine centres to obtain safe and effective health remedies
for their physical and emotional illnesses. This study investigates the antecedents of …

Objectives: To show and clearly demonstrate by examples that the possibilities of the
artificial intelligence methods in the field of medicine are much wider than those currently …

This article proposes a method of constructing dynamic neural network mathematical
models that allow not only to diagnose the disease at the current time, but also to simulate …

Diabetes is a chronic disease, in the pathogenesis of which is a lack of insulin in the human
body causing a metabolic disorder and pathological changes in various organs and tissues …

Objective: There is an unmet need for quick, physically small, and cost-effective office-based
techniques that can measure bone properties without the use of ionizing radiation. Methods …

The goal of this paper is to propose a fuzzy inference framework for diagnosis of
osteoporosis disease in the field of medical imaging. The idea behind such a framework is to …

Osteoporosis is an age related disorder manifested by skeletal fractures. This has been
recognized as an important health issue mainly in women. Low bone mineral density is the …