An insight into the role of artificial intelligence in combating malaria: recent developments.

Abstract

In order to overcome obstacles in diagnosis, surveillance, treatment, and vector control, artificial intelligence (AI) has emerged as a crucial weapon in the fight against malaria. The eradication of malaria has benefited greatly from the exceptional accuracy and efficiency of AI-driven solutions. This review of the literature examines several uses of AI in the fight against malaria, emphasizing new developments. AI-driven solutions have the potential to improve malaria prevention and eradication efforts with sustained innovation and investment, ultimately enhancing global health security. AI is transforming the treatment of malaria by facilitating personalised medicine, speeding up drug discovery, and enhancing diagnostics. AI is improving treatment approaches and tackling the problems caused by drug-resistant malaria parasites through machine learning, deep learning, and in silico drug repurposing. Achieving long-term malaria eradication targets will require sustained investment in AI-driven malaria research. In epidemiological tracking, artificial intelligence (AI) has also become a potent instrument. AI-driven methods offer creative ways to find novel treatment approaches, maximize drug discovery, and forecast the dynamics of malaria transmission, especially in light of the growing resistance of Plasmodium parasites to current medications. Thus, this review paper provides insights into the developments made by AI in combating malaria.