JAKARTA - The National Research and Innovation Agency (BRIN), through the Research and Health Organization, developed a malaria diagnosis system by utilizing Artificial Intelligence (AI) technology.
This innovation was revealed in an online meeting entitled The Role of AI in Malaria Diagnosis on Wednesday, May 7. At the meeting, the Main Expert Researcher of the Eijkman BRIN Center for Molecular Biology Research Puji Budi Setiah Asih alluded to the importance of this technology.
In fact, malaria is one of the health problems that is often found in Indonesia. Based on data from the latest Ministry of Health, Papua is the area with the highest malalrial cases. The province accounts for 88 percent of the total malaria cases in Indonesia.
Seeing the high number of malaria cases in the country, rapid treatment is very necessary. Therefore, BRIN developed an AI-based microscopic approach. According to Puji, the use of this technology can help the country in accurately diagnosing its illness.
"(This approach) will help improve sensitivity and accuracy of diagnostics, which are prerequisites for malaria elimination. The data used in this development comes from various parts of Indonesia, enabling the system to recognize various species of malaria parasitics," said Puji.
Although the development of this technology has been running smoothly so far, Puji said that they also faced several obstacles. One of them is the standardization of coloring that is plopt for images that will be analyzed by AI.
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"Development of AI in the future to diagnose malaria is a challenge regarding the coloring and measurement of the algorithm," explained Puji. "There is still human error (in its analysis)."
For now, BRIN believes in the technology they are developing. In the future, the research institute hopes that it can combine malaria detection AI technology into technologies such as drones.
The combination of this technology is carried out to find a place to miss malaria mosquitoes. When this place of longing is found, related parties can overcome the spread of the disease more quickly by turning off mosquito larvae in the area.
"The discovery of a larva source or larva source management for Anopheles through AI technology is very helpful for malaria control programs," said Puji.
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