Objective This review aimed to systematically analyse the influence of clinical variables,
diagnostic parameters and the overall image acquisition process on automation and deep …

Background Artificial intelligence (AI) algorithms have been applied to diagnose
temporomandibular disorders (TMDs). However, studies have used different patient …

This study aimed at performing a systematic review of the literature on the application of
artificial intelligence (AI) in dental and maxillofacial cone beam computed tomography …

Purpose The aim of the present systematic review and meta-analysis was to resolve the
conflicts on the diagnostic accuracy of artificial intelligence systems in detecting and …

Objective: To define which are and how the radiomics features of jawbone pathologies are
extracted for diagnosis, predicting prognosis and therapeutic response. Methods: A …

Purpose To develop and validate a radiomics nomogram for predicting early recurrence in
high-grade serous ovarian cancer (HGSOC) patients. Materials and Methods From May …

Purpose To develop and validate a radiomics model for predicting preoperative lymph node
(LN) metastasis in high-grade serous ovarian cancer (HGSOC). Materials and Methods …

The purpose of this study was to propose a machine learning model and assess its ability to
classify TMJ pathologies on magnetic resonance (MR) images. This retrospective cohort …

In this review, we assessed the diagnostic efficiency of artificial intelligence (AI) models in
detecting temporomandibular joint osteoarthritis (TMJOA) using radiographic imaging data …

Background Parkinson's disease (PD) is a neurological disease that affects the motor
system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia …