Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
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) …

Machine learning applications in prostate cancer magnetic resonance imaging

R Cuocolo, MB Cipullo, A Stanzione, L Ugga… - European radiology …, 2019 - Springer
With this review, we aimed to provide a synopsis of recently proposed applications of
machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI) …

Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge

M Hosseinzadeh, A Saha, P Brand, I Slootweg… - European …, 2022 - Springer
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 …

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

SG Armato III, H Huisman, K Drukker… - Journal of Medical …, 2018 - spiedigitallibrary.org
Grand challenges stimulate advances within the medical imaging research community;
within a competitive yet friendly environment, they allow for a direct comparison of …

PI-RADS: where next?

B Turkbey, AS Purysko - Radiology, 2023 - pubs.rsna.org
Prostate MRI plays an important role in the clinical management of localized prostate
cancer, mainly assisting in biopsy decisions and guiding biopsy procedures. The Prostate …

[HTML][HTML] Artificial intelligence based algorithms for prostate cancer classification and detection on magnetic resonance imaging: a narrative review

JJ Twilt, KG van Leeuwen, HJ Huisman, JJ Fütterer… - Diagnostics, 2021 - mdpi.com
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 …

[HTML][HTML] Machine learning in prostate MRI for prostate cancer: current status and future opportunities

H Li, CH Lee, D Chia, Z Lin, W Huang, CH Tan - Diagnostics, 2022 - mdpi.com
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 …

Factors influencing variability in the performance of multiparametric magnetic resonance imaging in detecting clinically significant prostate cancer: a systematic …

A Stabile, F Giganti, V Kasivisvanathan… - European urology …, 2020 - Elsevier
Context There is a lack of comprehensive data regarding the factors that influence the
diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) to detect and …

Interreader variability of prostate imaging reporting and data system version 2 in detecting and assessing prostate cancer lesions at prostate MRI

MD Greer, JH Shih, N Lay, T Barrett… - American Journal of …, 2019 - ajronline.org
OBJECTIVE. The purpose of this study was to evaluate agreement among radiologists in
detecting and assessing prostate cancer at multiparametric MRI using Prostate Imaging …

[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine

T Habuza, AN Navaz, F Hashim, F Alnajjar… - Informatics in Medicine …, 2021 - Elsevier
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …