Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

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 …

This scoping review examines the contemporary applications of advanced artificial
intelligence (AI) software in orthodontics, focusing on its potential to improve daily working …

Objective To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth
detection and segmentation on panoramic radiographs. Materials and methods In total, 153 …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

Objectives The objective of this study is the development and validation of a novel artificial
intelligence driven tool for fast and accurate mandibular canal segmentation on cone beam …

The digital transformation in dental medicine, based on electronic health data information, is
recognized as one of the major game-changers of the 21st century to tackle present and …

The increasing use of three-dimensional (3D) imaging techniques in dental medicine has
boosted the development and use of artificial intelligence (AI) systems for various clinical …