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•स्क्रिनमा देखिने चुरोट: सुर्तीजन्य हानि न्यूनीकरण नीतिमा दक्षिण एसियाले अझै के छुटाइरहेको छ•नेपालमा पिसाब नलीको संक्रमण र एन्टिबायोटिक प्रतिरोधको बढ्दो संकट•Frontline Perspectives on Nursing Leadership in Nepal•Protecting the Smallest Lungs from the Hidden Grip of RSV in Kathmandu•The Heavy Burden of Bullying on Student Wellbeing in Nepal•The Emerging Landscape of Thyroid Health in Central Nepal•How a Recent Western Nepal Study is Redefining Anemia Diagnosis•How H. Pylori is Impacting the Health of Karnali’s High-Altitude Communities•Sweet Poison, Bitter Reality: The Unseen Diabetes Epidemic Among Nepal’s Youth•How Missing Checklists and Protocols are Costing Lives in Nepal’s ERs•स्क्रिनमा देखिने चुरोट: सुर्तीजन्य हानि न्यूनीकरण नीतिमा दक्षिण एसियाले अझै के छुटाइरहेको छ•नेपालमा पिसाब नलीको संक्रमण र एन्टिबायोटिक प्रतिरोधको बढ्दो संकट•Frontline Perspectives on Nursing Leadership in Nepal•Protecting the Smallest Lungs from the Hidden Grip of RSV in Kathmandu•The Heavy Burden of Bullying on Student Wellbeing in Nepal•The Emerging Landscape of Thyroid Health in Central Nepal•How a Recent Western Nepal Study is Redefining Anemia Diagnosis•How H. Pylori is Impacting the Health of Karnali’s High-Altitude Communities•Sweet Poison, Bitter Reality: The Unseen Diabetes Epidemic Among Nepal’s Youth•How Missing Checklists and Protocols are Costing Lives in Nepal’s ERs

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples.

Researchers

Tugba Akinci D'Antonoli, Lisa C Adams, Amine Amyar, Ken Chang, Gunvant Chaudhari, Salvatore Claudio Fanni, Anthony A Gatti, Ricardo A Gonzales, Merel Huisman, Michail E Klontzas, Mahsa Mayeli, Mana Moassefi, Dogan S Polat, Ali Tejani, Charles E Kahn, John Mongan

Abstract

The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) provides a structured framework for transparent and reproducible reporting of AI studies in medical imaging. Since its introduction in 2020, CLAIM has been widely adopted by researchers, reviewers, and journal editors, but variability in its interpretation has limited consistent application. In 2024, the CLAIM Steering Committee published an updated checklist developed through a structured Delphi consensus process involving 72 experts across imaging-related medical specialties, AI science, journal editing, and biostatistics. This article provides a detailed explanation and elaboration of each of the 44 items in the CLAIM 2024 Update, clarifying the intent, common misinterpretations, and appropriate implementation of each item. Illustrative examples from the published literature demonstrating adherence to each item are provided in an accompanying Supplement and through a user-friendly online tool at https://rsna.github.io/claim/. The scope of this work spans the full AI study lifecycle covered by CLAIM, from study design and data sourcing to model development, evaluation, and reporting of results. This resource is intended to support authors, reviewers, and editors in the accurate and consistent application of CLAIM, thereby improving the quality, transparency, and reproducibility of AI research in medical imaging.
Source: PubMed (PMID: 42813998)View Original on PubMed