ArticleJournal of medical imaging (Bellingham, Wash.)2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.
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In one paragraph
Article in Journal of medical imaging (Bellingham, Wash.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Prognostic value of deep learning-based coronary artery calcium score and quantitative pneumonia burden in patients hospitalized with COVID-19.BMC medical imaging · 2026Article
- Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.The British journal of radiology · 2023Article
- Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events.JACC. Cardiovascular imaging · 2023Article
- Article
Corrections and comments
- Update of
Authors and funding
26 authors.
Aditya KillekarCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.ORCID https://orcid.org/0000-0003-3831-5676
Kajetan GrodeckiMedical University of Warsaw, Warsaw, Poland.
Andrew LinCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Sebastien CadetCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Priscilla McElhinneyCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Aryabod RazipourCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Cato ChanCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Barry D PressmanCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Peter JulienCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Peter ChenCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Judit SimonSemmelweis University, Budapest, Hungary.
Pal Maurovich-HorvatSemmelweis University, Budapest, Hungary.
Nicola GaibazziAzienda Ospedaliero-Universitaria di Parma, Parma, Italy.ORCID https://orcid.org/0000-0002-2207-3388
Udit ThakurMonash Health, Melbourne, Victoria, Australia.
Elisabetta ManciniUniversity of Milan, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Cecilia AgalbatoUniversity of Milan, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Jiro MunechikaShowa University School of Medicine, Tokyo, Japan.
Hidenari MatsumotoShowa University School of Medicine, Tokyo, Japan.
Roberto MenèIRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, Milan, Italy.ORCID https://orcid.org/0000-0003-1671-1977
Gianfranco ParatiIRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, Milan, Italy.
Franco CernigliaroIRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, Milan, Italy.
Nitesh NerlekarMonash Health, Melbourne, Victoria, Australia.
Camilla TorlascoIRCCS Istituto Auxologico Italiano, Department of Cardiovascular, Neural and Metabolic Sciences, Milan, Italy.ORCID https://orcid.org/0000-0003-2382-6721
Gianluca PontoneUniversity of Milan, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Damini DeyCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.
Piotr SlomkaCedars-Sinai Medical Center, Department of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Los Angeles, California, United States.ORCID https://orcid.org/0000-0002-6110-938X
Funding
Syndecan-1 suppression of lung inflammation - Diversity SupplementR01HL159953 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHEN, PETER · 2022 to 2025
$2.7MAutomated quantitative CT imaging of epicardial adipose tissue and risk of cardiac eventsR01HL133616 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2016 to 2019
$2.6MFungal dysbiosis regulation of post-influenza bacterial pneumoniaR01HL155759 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHEN, PETER · 2021 to 2024
$2.4MDynactin 4 regulation of lung injuryR01HL137076 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHEN, PETER, SCHROER, TRINA A · 2018 to 2021
$1.9MNHLBI NIH HHS R01 HL133616NHLBI NIH HHS R01 HL137076NHLBI NIH HHS R01 HL155759NHLBI NIH HHS R01 HL159953
Abstract
PubMed holds no abstract for this paper.
Indexed as
computed tomography imagingcoronavirus disease 2019deep learningimage processinglesion segmentationsupervised learning
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What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
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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.