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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 …
imaging for various diseases and modalities and therefore has a high potential to be used …
PI-RADS: where next?
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 …
cancer, mainly assisting in biopsy decisions and guiding biopsy procedures. The Prostate …
[HTML][HTML] Artificial intelligence for clinical diagnosis and treatment of prostate cancer
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 …
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?
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 …
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
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 …
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?
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 …
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
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 …
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 …
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 …
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 …
cancer (PCa), by reducing the cost and duration of the procedure and adverse reactions. We …