01445nas a2200193   4500000000100000008004100001653004500042653001800087653002100105653002300126100001500149700001700164700001800181245007000199856004800269300001200317490000600329520091600335       2024                            d10aArtificial Intelligence in Public Health10aDeep learning10amachine learning10aMedical entomology1 aMansouri V1 aGholizadeh S1 aHosseinpoor S00aImpact of artificial intelligence on medical entomology  research  uhttps://hsm.umsu.ac.ir/article-1-150-en.pdf  a113-1190 v33 a<p>Artificial intelligence (AI) and its techniques are a rapidly growing field and are being used in various fields, including healthcare and many others. Medical entomology is one of the important sectors in health care. Diseases transmitted through carriers impose a great economic and social burden on the health of society. Mosquito-borne diseases pose major challenges to human health, affecting more than 600 million people and killing more than 1 million people each year. In the current study, we reviewed more than 30 papers in PubMed and Google Scholar that dealt with the application of artificial intelligence techniques in medical entomology. Articles were classified based on the use of AI and its techniques in this field and show that this new tool can play an important role in predicting the risk of contracting vector-borne diseases and the accurate monitoring of insect vector species.</p>