Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update | Radiology:
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Purpose The purpose of this study was to conduct a meta-research of radiomics-related
articles for the publication of negative results, with a focus on the leading clinical radiology …

The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …

Background Complete reporting is essential for clinical research. However, the endorsement
of reporting guidelines in radiological journals is still unclear. Further, as a field extensively …

BACKGROUND: Intermodality image-to-image translation is an artificial intelligence
technique for generating one technique from another. PURPOSE: This review was designed …

Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …

Adherence to the Checklist for Artificial Intelligence in Medical Imaging (CLAIM): an umbrella
review with a comprehensive two-l Page 1 ARTIFICIAL INTELLIGENCE AND INFORMATICS …

Purpose Different deep-learning models have been employed to aid in the diagnosis of
musculoskeletal pathologies. The diagnosis of tendon pathologies could particularly benefit …

Introduction: Major depressive disorder (MDD) is a highly prevalent mental disorder
worldwide and occurs to people of various ages, with enormous social and economic …

As yet, no systematic review on commercial deep learning-based auto-segmentation (DLAS)
software for breast cancer radiation therapy (RT) planning has been published, although …