Artificial intelligence (AI) is recently seeing significant advances in teledermatology (TD),
also thanks to the developments that have taken place during the COVID-19 pandemic. In …

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

We propose a hybrid sequential prediction model called “Deep Sequence”, integrating
radiomics-engineered imaging features, demographic, and visual factors, with a recursive …

Purpose To evaluate deep-learning based calcium quantification on Chest CT scans
compared with manual evaluation, and to enable interpretation in terms of the traditional …

Yapay zekâ teknolojilerinin gelişmesiyle birlikte, işletmeler için dijital dönüşüm gerekli hale
gelmiştir. Artan rekabet ortamında işletmelerin, sürdürülebilir olmayı hedefleyerek …

Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early
diagnosis, reducing the medical administrative burden, aiding drug development …

Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT
angiography (cCTA) has been proven to provide excellent evaluation of coronary artery …

Rationale and Objectives Research on implementation of artificial intelligence (AI) in
radiology workflows and its impact on reports remains scarce. In this study, we aim to assess …

Dijital çağın yükselişi ve son yıllarda yapılan başarılı pazarlama çalışmalarının da katkısıyla
yapay zekâ teknolojilerinin önemi her geçen gün daha da artmakta ve söz konusu …

Objective: The purpose was to evaluate reader variability between experienced and in-
training radiologists of COVID-19 pneumonia severity on chest radiograph (CXR), and to …