AI Reporting Guidelines: How to Select the Best One for Your Research
Michail E. Klontzas(University of Crete), Charles E. Kahn(University of Pennsylvania), Anthony A. Gatti(Ulsan College), Ali S. Tejani(University of California, San Francisco)
Cited by 59
Related Papers
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
|Radiology Artificial Intelligence|2024|331
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|263
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
|Diagnostic and Interventional Radiology|2023|205
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
|Diagnostic and Interventional Radiology|2024|134
Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act
|Insights into Imaging|2025|78