Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review

BM De Vries, GJC Zwezerijnen, GL Burchell… - Frontiers in …, 2023 - frontiersin.org
Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic
imaging for various diseases and modalities and therefore has a high potential to be used …

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 for clinical diagnosis and treatment of prostate cancer

AA Rabaan, MA Bakhrebah, H AlSaihati, S Alhumaid… - Cancers, 2022 - mdpi.com
Simple Summary The primary purpose of this review is to provide an in-depth analysis of
existing Artificial Intelligence (AI) algorithms used in the field of prostate cancer (PC) for …

Biparametric MRI in prostate cancer during active surveillance: is it safe?

I Caglic, N Sushentsev, T Syer, KL Lee, T Barrett - European Radiology, 2024 - Springer
Active surveillance (AS) is the preferred option for patients presenting with low-intermediate-
risk prostate cancer. MRI now plays a crucial role for baseline assessment and ongoing …

Automated machine learning with interpretation: a systematic review of methodologies and applications in healthcare

H Yuan, K Yu, F **e, M Liu, S Sun - Medicine Advances, 2024 - Wiley Online Library
Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …

Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

V Bozgo, C Roest, I van Oort, D Yakar, H Huisman… - European …, 2024 - Springer
Objective To review the components of past and present active surveillance (AS) protocols,
provide an overview of the current studies employing artificial intelligence (AI) in AS of …

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics

M Kaneko, V Magoulianitis, LS Ramacciotti… - Urologic …, 2024 - urologic.theclinics.com
The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging - Urologic Clinics
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[HTML][HTML] Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary …

A Midya, A Hiremath, J Huber… - Frontiers in …, 2023 - frontiersin.org
Objective The aim of this study was to quantify radiomic changes in prostate cancer (PCa)
progression on serial MRI among patients on active surveillance (AS) and evaluate their …

The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: a two-center study

Y Liu, C Chen, K Wang, M Zhang, Y Yan, L Sui… - European Journal of …, 2023 - Elsevier
Objective The aim of this study is to develop AI-assisted software incorporating a deep
learning (DL) model based on static ultrasound images. The software aims to aid physicians …

Biparametric vs. Multiparametric MRI in the Detection of Cancer in Transperineal Targeted-Biopsy-Proven Peripheral Prostate Cancer Lesions Classified as PI-RADS …

E Bertelli, M Vizzi, C Marzi, S Pastacaldi, A Cinelli… - …, 2024 - pmc.ncbi.nlm.nih.gov
Background: Biparametric MRI (bpMRI) has an important role in the diagnosis of prostate
cancer (PCa), by reducing the cost and duration of the procedure and adverse reactions. We …