Introduction: Artificial intelligence is widely used in medical field, and machine learning has
been increasingly used in health care, prediction, and diagnosis and as a method of …

Placenta accreta spectrum (PAS) disorders are a major cause of maternal morbidity and
mortality and are increasing in incidence owing to a rising rate of cesarean delivery. US is …

Coronary artery disease is one of the most prevalent chronic pathologies in the modern
world, leading to the deaths of thousands of people, both in the United States and in Europe …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Objectives In the context of the gradual development of artificial intelligence in health care,
the clinical decision support systems (CDSS) play an increasing crucial role in improving the …

Rationale and Objectives To evaluate an MRI radiomics-powered machine learning (ML)
model's performance for the identification of deep myometrial invasion (DMI) in endometrial …

Artificial intelligence is finding several applications in healthcare settings. This study aimed
to report evidence on the effectiveness of artificial intelligence application in obstetrics …

Objectives The aim of this study was to systematically review the literature and perform a
meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically …

Machine learning (ML) is a software solution with the ability of making predictions without
prior explicit programming, aiding in the analysis of large amounts of data. These algorithms …

Background/Aim: To investigate whether a radiomic machine learning (ML) approach
employing texture-analysis (TA) features extracted from primary tumor lesions (PTLs) is able …