From the various perspectives of machine learning (ML) and the multiple models used in this
discipline, there is an approach aimed at training models for the early detection (ED) of …

Bone defect is a highly prevalent disorder. Given that many people, especially the elderly
are suffering from it, there's an urgent need for the development of bone tissue regeneration …

(1) Background: According to the World Health Organization (WHO), 6.3 million intrauterine
fetal deaths occur every year. The most common method of diagnosing perinatal death and …

Artificial intelligence (AI) has emerged as a promising tool in oral oncology, particularly in
the field of prediction. This review provides a comprehensive outlook on the role of AI in …

Obesity disease is a significant health issue and has affected millions of people worldwide.
Identifying underlying reasons for the onset of obesity risk in its early stage has become …

Modern technologies, particularly artificial intelligence methods such as machine learning,
hold immense potential for supporting doctors with cancer diagnostics. This study explores …

With the growing demand for efficient solutions to face the challenges posed by population
growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a …

Diabetes is a chronic disease that is characterized by high blood sugar levels and can have
several harmful outcomes. Hyperglycemia, which is defined by persistently elevated blood …

Objective To construct a highly accurate and interpretable feeding intolerance (FI) risk
prediction model for preterm newborns based on machine learning (ML) to assist medical …

Background and purpose Psoriasis is a chronic, immune-mediated inflammatory skin
disease that significantly impacts patients' quality of life. The integration of telepharmacy has …