Research graph
References from Feasibility of Functionally Standardized AI-Assisted Coronary CT Angiography Training for Radiology Residents: A Multicenter Randomized Pilot Study. Local targets link to admitted publications; unresolved targets remain external evidence.
2025 Heart disease and stroke statistics: A report of US and global data from the American heart association
2025 · External reference
2024 ESC Guidelines for the management of chronic coronary syndromes
10.1093/eurheartj/ehae177 · 2024 · External reference
10.1016/j.jcmg.2022.07.002
10.1016/j.jcmg.2022.07.002 · 2022 · External reference
Competence of radiologists in cardiac CT and MR imaging in Europe: insights from the ESCR Registry
10.1007/s00330-024-10644-4 · 2024 · External reference
The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience
10.1177/02841851221089263 · 2023 · External reference
Diagnostic accuracy of on-premise automated coronary CT angiography analysis based on Coronary Artery Disease Reporting and Data System 2.0
10.1148/radiol.242087 · 2025 · External reference
Human AI Teaming for Coronary CT Angiography Assessment: Impact on Imaging Workflow and Diagnostic Accuracy
10.3390/diagnostics13233574 · 2023 · External reference
Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making
10.1016/j.ijmedinf.2025.106223 · 2026 · External reference
Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support
10.1001/jama.2023.22557 · 2023 · External reference
CONSORT 2010 statement: extension to randomised pilot and feasibility trials
10.1136/bmj.i5239 · 2016 · External reference
Prospective evaluation of the learning curve and diagnostic accuracy for Pre-TAVI cardiac computed tomography analysis by cardiologists in training: The LEARN-CT study
10.1016/j.jcct.2022.03.002 · 2022 · External reference
10.1016/j.jcct.2023.03.006
10.1016/j.jcct.2023.03.006 · 2023 · External reference
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review
10.1016/s2589-7500(24)00047-5 · 2024 · External reference
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
10.1186/s12880-022-00756-y · 2022 · External reference
Effects of artificial intelligence implementation on efficiency in medical imaging-a systematic literature review and meta-analysis
10.1038/s41746-024-01248-9 · 2024 · External reference
Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
10.1148/radiol.222176 · 2023 · External reference
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
2020 · External reference
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers
10.1148/ryai.2020200029 · 2020 · External reference
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
10.1136/bmj-2022-070904 · 2022 · External reference
Do as AI say: susceptibility in deployment of clinical decision-aids
10.1038/s41746-021-00385-9 · 2021 · External reference
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
10.1007/s00330-020-07684-x · 2021 · External reference
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
10.1007/s00330-021-07892-z · 2021 · External reference
