ArticleFrontiers in medicine2020
COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis.
Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled 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.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- Trial
- Quantitative Chest CT Analysis: Three Different Approaches to Quantify the Burden of Viral Interstitial Pneumonia Using COVID-19 as a Paradigm.Journal of clinical medicine · 2024Article
- Physico-chemical characterization of acid base disorders in patients with COVID-19: A cohort study.World journal of nephrology · 2024Article
- An Entropy-Based Measure of Complexity: An Application in Lung-Damage.Entropy (Basel, Switzerland) · 2022Article
- Clinical implications of microvascular CT scan signs in COVID-19 patients requiring invasive mechanical ventilation.La Radiologia medica · 2022Article
- Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.Journal of X-ray science and technology · 2022Article
- A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images.Applied soft computing · 2021Article
- COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis.Life (Basel, Switzerland) · 2021Article
- Tailoring glucocorticoids in patients with severe COVID-19: a narrative review.Annals of translational medicine · 2021Review
- COVID-19 disease severity assessment using CNN model.IET image processing · 2021Article
- Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.Frontiers in physiology · 2021Article
- Pulmonary Emphysema Regional Distribution and Extent Assessed by Chest Computed Tomography Is Associated With Pulmonary Function Impairment in Patients With COPD.Frontiers in medicine · 2021Article
- The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis.Informatics in medicine unlocked · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.