Evidence
Diagnostic Utility of Artificial Intelligence–assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort Study
Accurate magnetic resonance imaging (MRI) reporting is essential for transperineal prostate biopsy (TPB) planning. Although approved computer-aided diagnosis (CAD) tools may assist urologists in this task, evidence of improved clinically significant prostate cancer (csPCa) detection is lacking.
Retrospective analysis of radiotherapy plans for prostate cancer after revision of MRI targeted lesions detected by Quantib
ANNUAL MEETING OF THE ITALIAN SOCIETY OF URO-ONCOLOGY (SIURO), 2023
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, ocad191,
Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD
Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD
Mammography AI in 147 Clinics Results in Increased Cancer Detection Rate
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Leeann Louis, PhD
Leeann Louis, PhD
AI software leverages information in DBT to help identify cancers with limited or no visibility on FFDM
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Brittaney Everitt, MS
Brittaney Everitt, MS
An AI-driven peer review quality-assurance process to improve cancer detection: Real world experience in a community practice
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Mireille Aujero, MD
Mireille Aujero, MD
Categorical artificial intelligence helps general radiologists and breast imaging specialists improve cancer detection performance on DBT mammograms for women of all races
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Jiye G. Kim, PhD
Jiye G. Kim, PhD
Radiologists using categorical AI for screening mammography improve more than double reading alone
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Hyunkwang Lee, PhD
Hyunkwang Lee, PhD
Real world evidence supports robustness of AI categories for screening mammography
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Bryan Haslam, PhD
Bryan Haslam, PhD
Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms
SEMINARS IN ROENTGENOLOGY, 2023
Elisa R. Berson, Mariam S. Aboian, Ajay Malhotra, Seyedmehdi Payabvash
Elisa R. Berson, Mariam S. Aboian, Ajay Malhotra, Seyedmehdi Payabvash
Combining semi‑quantitative rating and automated brain volumetry in MRI evaluation of patients with probable behavioural variant of frontotemporal dementia: an added value for clinical practise?
DIAGNOSTIC NEURORADIOLOGY, 2023
Sonia Francesca Calloni, Paolo Quintiliano Vezzulli, Antonella Castellano, Riccardo Leone, Silvia Basaia, Almar von Loon, Edoardo Gioele Spinelli, Giuseppe Magnani, Francesca Caso, Federica Agosta, Massimo Filippi & Andrea Falini
Sonia Francesca Calloni, Paolo Quintiliano Vezzulli, Antonella Castellano, Riccardo Leone, Silvia Basaia, Almar von Loon, Edoardo Gioele Spinelli, Giuseppe Magnani, Francesca Caso, Federica Agosta, Massimo Filippi & Andrea Falini
Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers.
EUROPEAN JOURNAL OF RADIOLOGY, 2023
Ali Forookhi, Ludovica Laschena, Martina Pecoraro, Antonella Borrelli, Michele Massaro, Ailin Dehghanpour, Stefano Cipollari, Carlo Catalano, Valeria Panebianco
Ali Forookhi, Ludovica Laschena, Martina Pecoraro, Antonella Borrelli, Michele Massaro, Ailin Dehghanpour, Stefano Cipollari, Carlo Catalano, Valeria Panebianco
Twenty-four hour blood pressure variability and the prevalence and the progression of cerebral white matter hyperintensities
JOURNAL OF CEREBRAL BLOOD FLOW & METABOLISM, 2023
Naomi LP Starmans et al.
Naomi LP Starmans et al.