ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2022
Machine Learning with
Open access · bronzeAbstract read
In one paragraph
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% of its field
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Harnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2024Pooled it
- Head-to-head comparison ofJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2024Trial
- Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026Review
- Artificial Intelligence in Coronary Plaque Characterization: Clinical Implications, Evidence Gaps, and Future Directions.Journal of clinical medicine · 2026Review
- Artificial Intelligence in Nuclear Cardiology.Journal of clinical medicine · 2025Review
- The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease.Biomedicines · 2025Review
- Artificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease.Journal of clinical medicine · 2025Review
- Sex differences in coronary atherosclerotic plaque activity usingEuropean journal of nuclear medicine and molecular imaging · 2024Article
- Integration of two-dimensional echocardiography: A novel risk indicator for ST-segment elevation myocardial infarction.ESC heart failure · 2024Article
- Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease.Current atherosclerosis reports · 2024Review
- Coronary artery calcification: concepts and clinical applications.Annals of medicine and surgery (2012) · 2024Review
- Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [Scientific reports · 2024Article
- Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning.European heart journal. Cardiovascular Imaging · 2024Article
- Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.Nature reviews. Cardiology · 2024Review
- Machine learning for prediction of all-cause mortality after transcatheter aortic valve implantation.European heart journal. Quality of care & clinical outcomes · 2023Article
- Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care.JACC. Cardiovascular imaging · 2023Review
- Latent Coronary Plaque Morphology From Computed Tomography Angiography, Molecular Disease Activity on Positron Emission Tomography, and Clinical Outcomes.Arteriosclerosis, thrombosis, and vascular biology · 2023Article
- Predicting HIV infection in the decade (2005-2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach.PLOS digital health · 2023Article
- Imaging of Bioprosthetic Valve Dysfunction after Transcatheter Aortic Valve Implantation.Diagnostics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 3 countries.
Jacek KwiecinskiDivision of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Evangelos TzolosDivision of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Mohammed N MeahBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Sebastien CadetDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Philip D AdamsonChristchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Kajetan GrodeckiDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
Nikhil V JoshiBristol Heart Institute, University of Bristol, United Kingdom; and.
Alastair J MossBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Michelle C WilliamsBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Edwin J R van BeekBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
David E NewbyBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Damini DeyDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
Marc R DweckBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Piotr J SlomkaDivision of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; piotr.slomka@cshs.org.
Cedars-Sinai Medical Center · USUniversity of Edinburgh · GBThe Queen's Medical Research Institute · GBUniversity of Bristol · GBUniversity of Otago · NZ
Funding
Integrated analysis of coronary anatomy and biology with 18F-fluoride PET and CT angiographyR01HL135557 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2017 to 2020
$3.0MAutomated quantitative CT imaging of epicardial adipose tissue and risk of cardiac eventsR01HL133616 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2016 to 2019
$2.6MBritish Heart Foundation CH/09/002/26360British Heart Foundation FS/13/77/30488British Heart Foundation FS/14/78/31020British Heart Foundation FS/17/79/33226British Heart Foundation FS/19/46/34445British Heart Foundation FS/ICRF/20/26002British Heart Foundation RG/16/10/32375Medical Research Council G0701127Medical Research Council MR/T005459/1NHLBI NIH HHS R01 HL133616NHLBI NIH HHS R01 HL135557Wellcome Trust
Abstract
Coronary
Indexed as
Computed Tomography AngiographyFluorine RadioisotopesMachine LearningMyocardial InfarctionPlaque, AtheroscleroticPositron Emission Tomography Computed TomographySodium FluorideAgedCoronary Artery DiseaseFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedFluorine-18Fluorine RadioisotopesSodium Fluoride18F-NaF PETCTmachine-learningmyocardial infarctionquantitative plaque analysis
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
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.