Utilizing AI-Enhanced Chest X-Rays and Hematological Indicators to Forecast Mortality and Intubation in COVID-19 Patients at a Secondary Referral Hospital in Indonesia - Report - MDSpire

Utilizing AI-Enhanced Chest X-Rays and Hematological Indicators to Forecast Mortality and Intubation in COVID-19 Patients at a Secondary Referral Hospital in Indonesia

  • By

  • Pradana Zaky Romadhon

  • Satriyo Dwi Suryantoro

  • Eric Daniel Tenda

  • Erika Marfiani

  • Alfian Nur Rosyid

  • Tri Pudy Asmarawati

  • Anggraini Dwi Sensusiati

  • Erika Soebakti

  • Choirina Windradi

  • Bagus Aulia Mahdi

  • Krisnina Nurul Widiyastuti

  • Aditea Etnawati Putri

  • Kartika Prahasanti

  • Yasjudan Rastrama Putra

  • Harik Firman Thahandian

  • Imam Manggalaya Adhikara

  • Amri Wicaksono Pribadi

  • Amalia Putri Handayani

  • Mariza Fitriati

  • March 13, 2026

  • 0 min

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Clinical Report: AI-Enhanced Chest X-Rays and Hematological Indicators in COVID-19

Overview

This study evaluates the predictive value of AI-enhanced chest X-rays and hematological indicators for mortality and intubation in COVID-19 patients in Indonesia. Findings suggest that integrating these tools can improve clinical decision-making in resource-limited settings.

Background

COVID-19 has significantly impacted Indonesia, with millions of infections and high mortality rates. Accurate prognostication is crucial for managing severe cases, especially in settings where RT-PCR testing is not readily available. Chest X-rays and hematological parameters have emerged as valuable tools for assessing disease severity and guiding treatment decisions.

Data Highlights

No numerical data available in the provided source material.

Key Findings

  • AI-enhanced chest X-rays (AI-CXR) can serve as objective indicators for mechanical ventilation needs in COVID-19 patients.
  • Hematological parameters such as WBC > 10, NLR > 7.5, and ALC < 0.1 are associated with higher mortality rates.
  • Progressive changes in chest X-ray findings correlate with the onset of COVID-19 symptoms.
  • Normal chest X-ray findings do not exclude COVID-19 infection, especially in early disease stages.
  • AI-CXR implementation may improve mortality prediction in resource-limited settings.

Clinical Implications

Healthcare providers should consider integrating AI-CXR and hematological assessments in their clinical workflows to enhance prognostic accuracy for COVID-19 patients. This approach is particularly beneficial in secondary referral hospitals with limited resources.

Conclusion

The combination of AI-enhanced chest X-rays and hematological indicators offers a promising strategy for improving patient management in COVID-19, especially in resource-constrained environments.

References

  1. Intensive Care Medicine, 2021 -- Temporal Analysis of Mortality Risk Factors in 1260 Critically Ill COVID-19 Patients Across 24 Intensive Care Units in Italy
  2. Drugs - Real World Outcomes, 2022 -- Network-Based Analysis of Real-World Data Indicates Ondansetron May Reduce All-Cause Mortality in COVID-19 Patients
  3. European Radiology, 2023 -- Utilizing Chest CT Biomarkers for Identifying High-Risk COVID-19 Patients: Insights from a Retrospective Multicenter Analysis
  4. Intensive Care Medicine, 2022 -- Factors Influencing Mortality During the Initial Surge of COVID-19: Insights from the Global UNITE-COVID Study
  5. WHO, 2025 -- Clinical management of COVID-19: living guideline, June 2025
  6. PubMed -- The Role of Neutrophil-to-Lymphocyte Ratio in Risk Stratification and Prognostication of COVID-19: A Systematic Review and Meta-Analysis
  7. Clinical management of COVID-19: living guideline, June 2025
  8. The Role of Neutrophil-to-Lymphocyte Ratio in Risk Stratification and Prognostication of COVID-19: A Systematic Review and Meta-Analysis - PubMed

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