ArticleScientific reports2025
AI based medical imagery diagnosis for COVID-19 disease examination and remedy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- Inflammatory and Endothelial Dysfunction Biomarkers Predict Severe COVID-19 in Hospitalized Patients: Development of the CCBR Model.Biomedicines · 2026Article
- Sustainable Ultralightweight U-Net-Based Architecture for Myocardium Segmentation.Journal of clinical medicine · 2025Article
- Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine.World journal of critical care medicine · 2025Review
- Synergistic Imaging: Combined Lung Ultrasound and Low-Dose Chest CT for Quantitative Assessment of COVID-19 Severity-A Prospective Observational Study.Diagnostics (Basel, Switzerland) · 2025Article
- Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.Tropical medicine and infectious disease · 2025Article
- Editorial for the Special Issue "Advances in Medical Image Processing, Segmentation, and Classification".Diagnostics (Basel, Switzerland) · 2025Article
- Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting millions, costing billions, and claiming nearly 2 million lives since late 2019. This highly contagious disease can easily overwhelm healthcare systems if not managed promptly. The current diagnostic method, Molecular diagnosis, is slow and has low sensitivity. CXR, an initial imaging tool, provides rapid results, but is less sensitive compared to CT scans. This article focuses on using AI for two main objectives: classifying the severity of COVID-19 and determining the appropriate treatment. Highlights key factors in the diagnosis and treatment of COVID-19, addressing questions such as: 1. For COVID-19 is innate immunity more important or acquired immunity? 2. Is the COVID-19 an immunity disorder or Acute Respiratory Distress Syndrome(ARDS)? 3. Is the cross mortality due to aging more dangerous than COVID-19? 4. Is COVID-19 a seasonal disease due to the deficiency of vitamin D in winter? 5. Is it better to treat COVID-19 as an epidemic or a pandemic?
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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.