Artificial intelligence (AI) has remarkably increased its presence and significance in a wide
range of sectors, including dentistry. It can mimic the intelligence of humans to undertake …

Introduction Artificial intelligence (AI) has the potential to replicate human intelligence to
perform prediction and complex decision making in health care and has significantly …

Abstract Cox Proportional Hazards (CPH) analysis is the standard for survival analysis in
oncology. Recently, several machine learning (ML) techniques have been adapted for this …

Abstract Case-Based Reasoning (CBR) is a form of analogical reasoning in which the
solution for a (new) query case is determined using a database of previous known cases …

Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

This paper presents a novel framework for breast cancer detection using mammogram
images. The proposed solution aims to output an explainable classification from a …

Aim. This comprehensive review is aimed at evaluating the diagnostic and prognostic
accuracy of artificial intelligence in endodontic dentistry. Introduction. Artificial intelligence …

Artificial Intelligence (AI) in medical applications holds great promise. However, the use of
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …

Background In recent years, the development and application of emerging information
technologies, such as artificial intelligence, cloud computing, Internet of Things, and …

Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …