Diagnostic Accuracy of Utilizing Artificial Intelligence for Malaria Diagnostic: A Systematic Review and Meta-Analysis
AI-based systems improve malaria diagnosis by providing high accuracy, automation, and lower costs. Showing performance comparable to reference methods such as microscopy and PCR, AI is a promising complementary tool for malaria control.
Authors
- Nuning Winaris (ORCID: https://orcid.org/0000-0001-5941-7095)
- Khadijah Cahya Yunita (ORCID: https://orcid.org/0000-0002-7641-5531)
- Icha Farihah Deniyati Faratisha (ORCID: https://orcid.org/0000-0002-6767-5577)
- Loeki Enggar Fitri
- Lailil Muflikah
- Hanifa Rizky Rahmawati
Institutions
- University of Brawijaya (ID)
Publication Details
- Journal
- Infectious Disease Reports
- Published
- 2026-01-13
- DOI
- https://doi.org/10.3390/idr18010011
- Citations
- 1
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 46.84