Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …

Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …

Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

Background: The aim of this review is to explore the role of artificial intelligence in the
diagnosis of colorectal cancer, how it impacts CRC morbidity and mortality, and why its role …

Cancer is the foremost cause of mortality among humans, as per statistics and accurate
classification of the lesion is critical for treating skin cancer at an early stage. Identification of …

Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …

Ship fires are one of the main factors that endanger the safety of ships; because the ship is
far away from land, the fire can be difficult to extinguish and could often cause huge losses …

Xerostomia may be accompanied by changes in salivary flow rate and the incidence
increases in elderly. We aimed to use machine learning algorithms, to identify significant …

Cervical cancer is one of the primary causes of death in women. It should be diagnosed
early and treated according to the best medical advice, similar to other diseases, to ensure …

Recently, in the field of crystal property prediction, the graph neural network (GNN) model
has made rapid progress. The GNN model can effectively capture high-dimensional crystal …