 The Plasmodium parasite is the primary cause of malaria, which has taken many lives over time. Recent research has focused on developing automated detection techniques for this parasite using machine learning algorithms. The results show that 28 different methods have been used, with performance ranging from 60 to 95%. In general, it appears that artificial intelligence, particularly machine and deep learning, are the most promising approaches for detecting plasmodium parasites. This article was authored by Amin Siddix-Sumi, Hanon Adi-Nagroho and Rudy Hartonto.