Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia

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Journal
BMC Infectious Diseases
Published
2026-03-13
DOI
https://doi.org/10.1186/s12879-026-13052-9
Primary Topic
COVID-19 diagnosis using AI
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article
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article

Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia

Kartika Prahasanti, Yasjudan Rastrama Putra, Erika Marfiani, Bagus Aulia Mahdi et al.
BMC Infectious Diseases
COVID-19 diagnosis using AI
article

Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia

Kartika Prahasanti, Yasjudan Rastrama Putra, Erika Marfiani, Bagus Aulia Mahdi, Tri Pudy Asmarawati, Satriyo Dwi Suryantoro, Eric Daniel Tenda, Amalia Putri Handayani, Krisnina Nurul Widiyastuti, Erika Soebakti, Amri Wicaksono Pribadi, Pradana Zaky Romadhon, Mariza Fitriati, Alfian Nur Rosyid, Harik Firman Thahandian, Imam Manggalaya Adhikara, Aditea Etnawati Putri, Anggraini Dwi Sensusiati, Choirina Windradi
article en

Abstract

No abstract available for this paper.
BMC Infectious Diseases
University of Surabaya (ID), Universitas Gadjah Mada (ID), Universitas Airlangga (ID), University of Indonesia (ID), Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID), Universitas Muhammadiyah Surabaya (ID)
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia — Kartika Prahasanti, Yasjudan Rastrama Putra, et al. · BMC Infectious Diseases (2026) | TGRS Research Map | TGRS