With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …

Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …

We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model 1 for
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …

Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the
detection of prostate cancer (PCa). However, characterizing prostate lesions …

Abstract Objectives To assess Prostate Imaging Reporting and Data System (PI-RADS)–
trained deep learning (DL) algorithm performance and to investigate the effect of data size …

Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate
and efficient radiologic interpretation. Although artificial intelligence may assist in this task …

Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa)
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …

Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had
a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images …