This technology utilizes morpho-geometric feature extraction to identify the size and shape of infected blood cells, according to Anto Satriyo Nugroho, head of the Research Center for Artificial Intelligence and Cybersecurity under the National Research and Innovation Agency (BRIN).

leftcenterrightdel
New system leverages advanced imaging and machine learning to identify malaria parasites with greater speed and accuracy. (Photo: tvbrics.com)

Accordingly, the AI system is designed to detect a patient's malaria infection status automatically by analyzing blood smear microphotographs.

Although one of the most difficult aspects of building the system is the parasite's changing morphology throughout the mosquito's life cycle, BRIN is optimistic that the technology will make a substantial contribution to Indonesia’s efforts to eradicate malaria.

Besides, BRIN has also encouraged collaboration among scholars, industry, and government to create AI that is relevant to local requirements.

Source: VNA