In one paragraphArticle in Biomedical physics & engineering express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing 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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
7 authors.
Marcus VictorDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.ORCID 0000-0002-5928-0591 Arthur RibeiroElectronics Engineering Division, Aeronautics Institute of Technology, Sao Paulo, Brazil.ORCID 0000-0001-8204-1014 Monica MatsumotoElectronics Engineering Division, Aeronautics Institute of Technology, Sao Paulo, Brazil.ORCID 0000-0002-2096-3387 Yi XinDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.ORCID 0000-0003-0539-809X Alice NovaDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.ORCID 0000-0002-3769-6406 Timothy GaultonDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.ORCID 0000-0002-3111-1972 Maurizio CeredaDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States of America.ORCID 0000-0002-2435-7413 Funding
An Integrated Approach to Predict and Improve the Outcomes of Lung InjuryR01HL137389 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CEREDA, MAURIZIO FRANCO · 2018 to 2021
$3.0MImaging the Pulmonary Circulation to Aid Personalized Management of Acute Respiratory Distress SyndromeR01HL171199 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Maurizio Franco Cereda · 2024 to 2026
$2.4MSimplifying Bedside Lung Perfusion Imaging Using Electrical Impedance TomographyR21EB036735 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI XIN, YI · 2025 to 2025
$657kPredicting ARDS trajectory with deep generative models of CT imagesK01HL173622 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Yi Xin · 2025 to 2026
$290kNHLBI NIH HHS K01 HL173622NHLBI NIH HHS R01 HL137389NHLBI NIH HHS R01 HL171199NIBIB NIH HHS R21 EB036735
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Electric ImpedanceImage Processing, Computer-AssistedLungSupervised Machine LearningTomographyUnsupervised Machine LearningAcute Lung InjuryAlgorithmsAnimalsNeural Networks, ComputerPerfusionSupport Vector MachineSwineelectrical impedance tomographyimage segmentationmachine learningpulmonary perfusionsupervised learningunsupervised learning
Identifiers
PMID40472859
PMCPMC12229030
What OpenQuestion holds
Textmetadata
LicenceTDM
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