Evidence
Performance of AI for Preoperative CT Assessment of Lung Metastases: Retrospective Analysis of 167 Patients
European Journal of Radiology
Masci et al. Oct 2024
The performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT was evaluated. Patients who underwent lung metastasectomy were enrolled. Their preoperative CT scans were retrospectively processed by AI. The results indicated that AI significantly increases the sensitivity of preoperative detection of lung metastases and enables earlier detection, with a significant potential benefit for patient management.
Diagnostic Utility of Artificial Intelligence–assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort Study
European Urology Focus
Guenzel et al. Sep 2024
Accurate magnetic resonance imaging (MRI) reporting is essential for transperineal prostate biopsy (TPB) planning. This study documented the diagnostic utility of using PI-RADS and CAD for biopsy planning compared with PI-RADS alone. A total of 262 consecutive men scheduled for TPB were analyzed. The tested CAD tool for TPB planning improved csPCa detection at the cost of an increased number of lesions sampled and false positives. This may enable more personalized biopsy planning depending on urological and patient preferences.
Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists
Radiology Artificial Intelligence
Kim et al. Feb 2024
The performance of 18 general radiologists and breast imaging specialists (9 generalists, 9 specialists) was evaluated with and without the aid of a custom-built categorical AI system. The categorical AI system helped improve overall radiologist interpretation performance of DBT screening mammograms for both general radiologists and breast imaging specialists and across various patient subgroups and breast cancer characteristics.
Retrospective analysis of radiotherapy plans for prostate cancer after revision of MRI targeted lesions detected by Quantib (now DeepHealth)
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
“It just works”: The smooth deployment of the lung solution at Portsmouth NHS
Mark Gardner
When it comes to AI adoption in radiology, we often focus on the experience of the clinicians. Yet seamless use of AI wouldn’t be possible without workflow integration, made possible in collaboration with the hospitals’ IT teams.
Lung cancer screening rolled out nationwide in the UK
Mammography AI in 147 Clinics Results in Increased Cancer Detection Rate
Leeann Louis, PhD
AI software leverages information in DBT to help identify cancers with limited or no visibility on FFDM
Brittaney Everitt, MS
An AI-driven peer review quality-assurance process to improve cancer detection: Real world experience in a community practice
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
Jiye G. Kim, PhD
Radiologists using categorical AI for screening mammography improve more than double reading alone
Hyunkwang Lee, PhD
Real world evidence supports robustness of AI categories for screening mammography
Bryan Haslam, 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