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October 5, 2025Frontiers in biomedical technologiesOpen Access

CT-Based Auto Lung Damage Assessment COVID-19

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Authors

SJShaima Ibraheem JabbarAl-Furat Al-Awsat Technical University

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Implication

Automated evaluation improves lung damage assessment in COVID-19 patients, suggesting potential in telemedicine.

Key Points

  • Automated assessment of lung damage can provide consistent and accurate results, reducing human error and variability.
  • The method showed a 3.5% to 18% mean difference in evaluations compared to radiologists, indicating close agreement.
  • The study involved 100 COVID-19 patients and used a composite technique to evaluate lung damage efficiently.
  • This method is especially useful in emergency situations or telemedicine, where specialist attention may not be available.

Cite This Study

Shaima Ibraheem Jabbar (2025) studied this question.

synapsesocial.com/papers/68e2537cd6d66a53c24743a2https://doi.org/10.18502/fbt.v12i4.19816
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Segmentation and measurement of lung pathological changes for COVID-19 diagnosis based on computed tomography2021
  2. 2Estimation of Covid-19 lungs damage based on computer tomography images analysis2025
  3. 3Severity assessment of COVID-19 disease: radiological visual score versus automated quantitative CT parameters using a pneumonia analysis algorithm2025
  4. 4Assessment of the Severity of COVID-19 on the Basis of Examination and Laboratory Diagnostics in Relation to Computed Tomography Imagery of Patients Hospitalised Due to COVID-19—Single-Centre Study2024
  5. 5A Cross-Sectional Study Conducted in Tehran, Iran, Analyzed the Typical Patterns of Primary Lung CT Scans in Critically Ill COVID-19 Patients Using a Semi-Quantitative Scoring System2024