Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …

One of the central tasks of genome research is to predict phenotypes and discover some
important gene biomarkers. However, there are three main problems in analyzing genomics …

Differentiation between the various non-small-cell lung cancer subtypes is crucial for
providing an effective treatment to the patient. For this purpose, machine learning …

In this work, we propose a new, fully automated system for multiclass skin lesion localization
and classification using deep learning. The main challenge is to address the problem of …

Background Adenocarcinoma and squamous cell carcinoma are the two most prevalent
lung cancer types, and their distinction requires different screenings, such as the visual …

Skin disease classification and detection have gained much research attention over the
years, considering that skin disease, a prevalent medical concern due to the vulnerability of …

Skin cancer has a high fatality rate, especially in Western countries. Early detection of skin
cancer prolongs human life and is helpful to cure disease. Dermoscopy inspection is a …

Skin cancer is a widespread malignancy that primarily affects light-skinned populations
globally, categorized into melanoma and non-melanoma skin cancers (NMSCs). Basal cell …

Since melanoma spreads swiftly throughout the body, it is typically a deadly form of skin
cancer. Only when skin cancer is discovered early on is it usually treatable. In order to do …