Artificial Intelligence Implementations in Parasitology: a Mini-review Article
Year: 2024
Type: review
Abstract: Blood parasites such as leishmaniasis, malaria, and trypanosomiasis continue to affect vulnerablepopulations worldwide. By using AI programmer develops as an innovative tool that has thepotential to develop diagnosis, treatment, prevention, control, and the prediction of parasitic diseaseoutbreaks, vector control, mobile health, epidemic detection, predictive modeling, diseaseburden estimation in endemic areas, and understanding transmission patterns. The revolution inthe previously mentioned items helps improve patient health and provide early warnings, enablinghealthcare authorities to implement preventive measures and allocate resources efficiently.AI expedites drug discovery in treating parasites by analyzing large datasets, predicting drug efficacyand safety profiles, streamlining drug development, and optimizing drug formulation anddelivery methods. This reduces time and cost for production of more effective parasitic medications,and aids in repurposing existing drugs with transformative impacts on the healthcare sector.However, AI's potential in the field of medical parasitology is limited by complex parasitelife cycles, heterogeneity, and specialized knowledge needs, while lack of data and ethical issuesrestrict its implementation. Therefore, obstacles need to be solved to efficiently realize AI's potentialin real applications. With more research and cooperation in this field, we can develop creativetechniques to combat parasitic infections and obtain a deeper understanding of them
Institution: Al-Azhar University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4401849182