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 - Summary - 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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Objective:

To evaluate the predictive value of AI-enhanced chest X-rays and hematological parameters for mortality and intubation in COVID-19 patients, highlighting its significance in Indonesia's healthcare context.

Key Findings:
  • AI-CXR parameters correlate with pulmonary function and may indicate intubation needs, suggesting a need for integration into clinical workflows.
  • Hematological indicators such as WBC > 10, NLR > 7.5, and ALC < 1.0 are associated with higher mortality rates, emphasizing the importance of these metrics in patient assessment.
  • Normal chest X-rays do not exclude COVID-19 infection, especially in early stages, highlighting the need for comprehensive diagnostic approaches.
Interpretation:

AI-CXR and hematological parameters can serve as valuable tools in predicting outcomes for COVID-19 patients, particularly in resource-limited settings, potentially transforming patient management.

Limitations:
  • AI-CXR technology is not widely available in developing countries, which may limit its applicability.
  • Retrospective design may limit the generalizability of findings, and potential biases should be acknowledged.
Conclusion:

Integrating AI-CXR with clinical and hematological assessments can enhance decision-making for COVID-19 patient management, particularly regarding mortality and intubation, ultimately improving patient outcomes.

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