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

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Indonesia has reported over 6 million COVID-19 infections and 160,000 deaths, highlighting the pandemic's severe impact on the country.
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Chest X-rays (CXR) are crucial for diagnosing COVID-19, with 74% of patients showing abnormal findings, aiding in clinical evaluation.
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AI-enhanced CXR analysis can predict mortality and intubation needs in COVID-19 patients, especially in resource-limited settings.
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Hematological indicators, such as elevated white blood cell counts and neutrophil-lymphocyte ratios, are significant predictors of COVID-19 severity.
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The study utilized a retrospective cohort design to evaluate the effectiveness of AI-CXR and hematological parameters in predicting outcomes.

Bmc Infectious Diseases

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

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