Evidence
Equitable impact of an AI-driven breast cancer screening workflow in real-world US-wide deployment
Nature Health
Louis et al. Nov 2025
Artificial intelligence shows promising results for improving early breast cancer detection and overall screening outcomes. Here the AI-Supported Safeguard Review Evaluation (ASSURE) study evaluates an AI workflow on digital breast tomosynthesis exams from women across four states to optimize early cancer detection. Implementation of the AI workflow improved screening effectiveness with equitable benefits.
Diagnostic Utility of Artificial Intelligence–assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort Study
European Urology Focus
Karsten et al. September 2024
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.
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study
Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD
Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms
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?
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.
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
Naomi LP Starmans et al.