 Monkeypox is an infectious virus that primarily affects Africa and has recently spread to other parts of the world. Symptoms include fever, headache, muscle aches and rashes. Artificial intelligence, AIT, models have been developed to accurately detect and diagnose monkeypox. These models use machine learning and deep learning techniques to identify the virus from patient symptoms and images. Additionally, AI can be used to predict the spread of monkeypox by analyzing population density and travel patterns. Furthermore, AI can be used to discover new drugs and vaccines to treat the disease. Finally, AI can help governments manage public health risks associated with monkeypox. This article was authored by Krishnaraj Chadaga, Shrikant Prabhu, Niranjana Sampathila and others.