Article in Radiographics : a review publication of the Radiological Society of North America, Inc, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
5 authors.
Pouria RouzrokhFrom the Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, Rochester, Minn (P.R.); Department of Radiology, University of California Los Angeles, Los Angeles, Calif (J.E.C.); Department of Radiology, University of California San Diego, San Diego, Calif (M.H.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.N.); and Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Mo (M.M.).ORCID 0000-0003-4664-0751
Jamie E ClarkeFrom the Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, Rochester, Minn (P.R.); Department of Radiology, University of California Los Angeles, Los Angeles, Calif (J.E.C.); Department of Radiology, University of California San Diego, San Diego, Calif (M.H.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.N.); and Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Mo (M.M.).ORCID 0000-0001-6422-5629
Melina HosseinyFrom the Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, Rochester, Minn (P.R.); Department of Radiology, University of California Los Angeles, Los Angeles, Calif (J.E.C.); Department of Radiology, University of California San Diego, San Diego, Calif (M.H.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.N.); and Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Mo (M.M.).ORCID 0000-0002-1667-3256
Moozhan NikpanahFrom the Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, Rochester, Minn (P.R.); Department of Radiology, University of California Los Angeles, Los Angeles, Calif (J.E.C.); Department of Radiology, University of California San Diego, San Diego, Calif (M.H.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.N.); and Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Mo (M.M.).ORCID 0000-0001-7428-0226
Mahati MokkaralaFrom the Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, Rochester, Minn (P.R.); Department of Radiology, University of California Los Angeles, Los Angeles, Calif (J.E.C.); Department of Radiology, University of California San Diego, San Diego, Calif (M.H.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.N.); and Department of Radiology, Mallinckrodt Institute of Radiology, St. Louis, Mo (M.M.).ORCID 0000-0002-6636-0434
Funding
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS T32 EB005970
6 · The paper itself
Abstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceRadiologistsRadiologyClinical CompetenceCurriculumEducation, Medical, GraduateForecastingHumansInternship and Residency
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.
Preparing Radiologists for an Artificial Intelligence-enhanced Future: Tips for Trainees. · full record | OpenQuestion