Medical parasitology is a specialty of medicine that studies, diagnoses, as well as treats parasitic illnesses in humans. Numerous parasites still require human microscopic testing, which is a time-consuming operation that requires expert personnel. The creation of artificially intelligent machines that can carry out duties that traditionally need cognitive abilities is the focus of the fast-developing discipline called artificial intelligence “AI". Consequently, the usage of AI has established itself as a potent tool across a number of sectors, and its application in medical parasitology shows considerable promise. The present article seeks to offer a complete overview of the existing and potential AI tasks and applications in medical parasitology. Researchers explore AI implementation techniques including neural networks, computer vision, and processing of natural languages in parasite detection, diagnosis, classification, drug discovery, and epidemiological investigations. Furthermore, they emphasize the challenges and potential perspectives for integrating artificial intelligence in this industry.