Abstract
Artificial intelligence (AI) is changing many fields, especially healthcare. It learns in three main ways: unsupervised learning, supervised learning, and reinforcement learning. Unsupervised learning finds patterns in data without human help, like grouping patients with similar health issues. Supervised learning involves doctors creating algorithms to diagnose diseases based on data from patients. Doctors check these algorithms to ensure they work well. Reinforcement learning helps in making treatment plans that adapt based on how patients respond. These methods can work together to improve AI systems. Researchers are also developing artificial neural networks to solve complex problems. As AI becomes more common, it is important to understand how it learns and makes decisions for ethical use.
