The research objective of this paper is to advance knowledge about the role of artificial
intelligence (AI) in complex problem-solving. A problem is complex due to the large number …

Objective This study aims to summarize the research literature evaluating machine learning
(ML)-based clinical decision support (CDS) systems in healthcare settings. Materials and …

Artificial intelligence (AI) has been widely used in various medical fields, such as image
diagnosis, pathological classification, selection of treatment schemes, and prognosis …

Background The primary pathogenic cause of tooth loss in adults is periodontitis, although
few reliable diagnostic methods are available in the early stages. One pathological factor …

The artificial intelligence (AI) revolution is here and gathering momentum, thanks to new
models of natural language processing (NLP) and rapidly increasing adoption by the public …

This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and
clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and …

Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

Artificial intelligence (AI) models are gaining widespread applications in various areas such
as the healthcare system, especially robotic surgeries. The output of these models needs to …

Clinical reasoning is a crucial skill and defining characteristic of the medical profession,
which relates to intricate cognitive and decision-making processes that are needed to solve …

Background Healthcare delivery will change through the increasing use of artificial
intelligence (AI). Physicians are likely to be among the professions most affected, though to …