ArticleRadiology. Artificial intelligence2024
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.
Registry-linked trialAbstract readEditorial
In one paragraph
Article in Radiology. Artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05984082 (Checklist for AI in Medical Imaging), which is not on this map. Cited by 308 papers, 14 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
308citing papers in PubMed, 14 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Checklist for AI in Medical Imaging (CLAIM) Consensus Panel
Who cites it
308 citing papers in PubMed, 14 syntheses or guidelines pooled it.
- Effectiveness, Safety, and Workflow Burden of Large Language Model-Based Medical Report Generation: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.Dento maxillo facial radiology · 2026Pooled it
- Diagnostic Accuracy of Medical Imaging-Based Artificial Intelligence for Osteonecrosis of the Femoral Head: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Performance of Natural Language Processing Model in Extracting Information from Free-Text Radiology Reports: A Systematic Review and Meta-Analysis.Journal of imaging informatics in medicine · 2026Pooled it
- Diagnostic accuracy of artificial intelligence-based deep learning models in detecting furcation involvement: A systematic review and meta-analysis.Journal of periodontology · 2026Pooled it
- Transformer-based models in dentistry: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- "Diagnostic Performance of Artificial Intelligence in Evaluating Tricuspid Regurgitation: A Systematic Review and Meta-Analysis".Clinical cardiology · 2026Pooled it
- AI Models for Surgical Decision Support in Spontaneous Intracerebral Hemorrhage: A Systematic Review in Relation to Trials and Guidelines.Neurocritical care · 2026Pooled it
- Diagnostic accuracy of ovarian cancer using convolutional neural network: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- Diagnostic performance of X-ray-based deep learning models for detecting ankle and foot fractures: a systematic review and meta-analysis.Skeletal radiology · 2026Pooled it
- Diagnostic accuracy of ¹⁸F-FDG PET/CT radiomics for non-invasive prediction of PD-L1 expression in non-small cell lung cancer: A systematic review and meta-analysis.Annals of nuclear medicine · 2026Pooled it
- Diagnostic accuracy of CT-based radiomics for predicting occult lymph node metastasis in early-stage lung adenocarcinoma: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Deep learning for cardiac CT segmentation for congenital heart disease: A systematic review.PloS one · 2026Pooled it
- Explainable artificial intelligence in medical ultrasound: a WoSCC-based bibliometric analysis, evidence map, and Scopus concordance assessment.Frontiers in medicine · 2026Pooled it
- Diagnostic accuracy of AI-augmented renal ultrasound for degenerative kidney disorders: a systematic review and meta-analysis.Future science OA · 2026Review
- Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning models.European journal of radiology open · 2026Article
- AI-assisted scoping review of code sharing in clinical prediction model research.Nature medicine · 2026Article
- Lifting the radiomics performance ceiling: how preprocessing leakage amplifies model multiplicity.European radiology · 2026Article
- Automated Bergmann-Kliesch Score assessment in testicular biopsies using artificial intelligence-based whole-slide image analysis: a retrospective monocentric development and validation study.Basic and clinical andrology · 2026Article
- Magnetic Resonance Imaging in Cerebral Small Vessel Disease-Related Depression: From Visual Scoring to Artificial Intelligence.CNS neuroscience & therapeutics · 2026Review
248 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Ali S Tejani *From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0002-6862-5299
Michail E Klontzas *From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0003-2731-933X
Anthony A Gatti *From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0001-6717-8979
John T MonganFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0003-2765-7451
Linda MoyFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0001-9564-9360
Seong Ho ParkFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0002-1257-8315
Charles E KahnFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).ORCID 0000-0002-6654-7434
CLAIM 2024 Update PanelFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).
Funding
TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Oliver Jonas · 2021 to 2026
$10.7MNIBIB NIH HHS P41 EB028741
Abstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceChecklistDiagnostic ImagingHumans
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
NCT05984082ClinicalTrials.gov
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.