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 interpret...
Tugba Akinci D'Antonoli, L. Adams, Amine Amyar et al.· Radiology: Artificial Intell...· 0 citations
Vision-language foundation models (VLMs) for computed tomography (CT) are emerging tools that learn generalizable representations from large-scale clinical imaging data. While these models can predict task-specific labels, the extent to which their representations capture the clinical, physiological, and longitudinal...
C. Beeche, Joonghyun Kim, H. Tavolinejad et al.· npj Digital Medicine· 1 citation
Abstract Introduction Identify knowledge gaps in applying artificial intelligence in clinical settings, using medical imaging as a primary use case to enhance diagnostic efficacy, efficiency, and patient and provider safety. Methods We convened a two-day workshop with 18 interdisciplinary experts from three countries....
E. Patterson, Grayson L. Baird, David Bates et al.· Diagnosis· 0 citations
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