Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Syntax Literate: Jurnal Ilmiah Indonesia Narra J
Nareswari, Dewi
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Education Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Designing the CORI score for COVID-19 diagnosis in parallel with deep learning-based imaging models Kamelia, Telly; Zulkarnaien, Benny; Septiyanti, Wita; Afifi, Rahmi; Krisnadhi, Adila; Rumende, Cleopas M.; Wibisono, Ari; Guarddin, Gladhi; Chahyati, Dina; Yunus, Reyhan E.; Pratama, Dhita P.; Rahmawati, Irda N.; Nareswari, Dewi; Falerisya, Maharani; Salsabila, Raissa; Baruna, Bagus DI.; Iriani, Anggraini; Nandipinto, Finny; Wicaksono, Ceva; Sini, Ivan R.
Narra J Vol. 5 No. 2 (2025): August 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i2.1606

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has triggered a global health crisis and placed unprecedented strain on healthcare systems, particularly in resource-limited settings where access to RT-PCR testing is often restricted. Alternative diagnostic strategies are therefore critical. Chest X-rays, when integrated with artificial intelligence (AI), offers a promising approach for COVID-19 detection. The aim of this study was to develop an AI-assisted diagnostic model that combines chest X-ray images and clinical data to generate a COVID-19 Risk Index (CORI) Score and to implement a deep learning model based on ResNet architecture. Between April 2020 and July 2021, a multicenter cohort study was conducted across three hospitals in Jakarta, Indonesia, involving 367 participants categorized into three groups: 100 COVID-19 positive, 100 with non-COVID-19 pneumonia, and 100 healthy individuals. Clinical parameters (e.g., fever, cough, oxygen saturation) and laboratory findings (e.g., D-dimer and C-reactive protein levels) were collected alongside chest X-ray images. Both the CORI Score and the ResNet model were trained using this integrated dataset. During internal validation, the ResNet model achieved 91% accuracy, 94% sensitivity, and 92% specificity. In external validation, it correctly identified 82 of 100 COVID-19 cases. The combined use of imaging, clinical, and laboratory data yielded an area under the ROC curve of 0.98 and a sensitivity exceeding 95%. The CORI Score demonstrated strong diagnostic performance, with 96.6% accuracy, 98% sensitivity, 95.4% specificity, a 99.5% negative predictive value, and a 91.1% positive predictive value. Despite limitations—including retrospective data collection, inter-hospital variability, and limited external validation—the ResNet-based AI model and the CORI Score show substantial promise as diagnostic tools for COVID-19, with performance comparable to that of experienced thoracic radiologists in Indonesia.
Cerebral Toxoplasmosis in an Immunocompetent Patient With Confirmed Covid-19 Positive Fradisha, Monica; Nareswari, Dewi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.978 KB) | DOI: 10.36418/syntax-literate.v8i3.11485

Abstract

A case of a 30 years-old male patient, diagnosed with cerebral toxoplasmosis, confirmed HIV, with positive COVID-19. Once he came to the emergency department with a chief complaint of left upper and lower limbs weakness progressing for two days. The patient appeared malnourished and was afebrile and assessed to be well hydrated. He was alert but drowsy and had speech difficulty. A focused neurologic examination was performed and revealed a loss of nasolabial fold indicating facial nerve palsy. Neck stiffness was present and there was reduced motoric power in the left upper and lower limb of 2/5, with positive Babinski sign and Chaddock sign. According to brain CT, showed vasogenic cerebral edema and midline shift. Further laboratory exams showed positive IgG antibodies for Toxoplasma, with a titer exceeding 300 IU/ml, positive serum HIV, with CD4 cell count below 200cell/mm3. Complete blood count study highlighted low haemoglobin and elevated white cell count. He tested positive for COVID-19 by nasopharyngeal swab RT-PCR. Chest CT were done and revealed features of viral pneumonia with ground glass opacity appearance. In summary, we present a patient with cerebral involvement of toxoplasmosis possibly facilitated by pre-existing immunodeficiency as an opportunistic infections of HIV, and with COVID-19 complicated as acute infections. This case report reinforces a potential role for other comorbidities, rather than HIV infection as regards SARS-CoV-2 infection outcomes. For better assessment we need to do MRI.
Co-Authors Afifi, Rahmi Anggraini Iriani Ari Wibisono Baruna, Bagus DI. Chahyati, Dina Falerisya, Maharani Fradisha, Monica Guarddin, Gladhi Krisnadhi, Adila Nandipinto, Finny Pratama, Dhita P. Rahmawati, Irda N. Rumende, Cleopas M. Salsabila, Raissa Septiyanti, Wita Sini, Ivan R. Telly Kamelia Wicaksono, Ceva Yunus, Reyhan E. Zulkarnaien, Benny