The use of artificial intelligence in medical imaging is rapidly growing, with nearly 900 AI-related devices approved by the FDA since 1995. AI can analyze massive amounts of data quickly and accurately, reducing error rates and improving diagnosis accuracy. It can spot signs of disease not immediately apparent to human radiologists, such as identifying people at risk of heart attack or stroke from chest X-rays. AI can also analyze medical images over time, providing valuable insights into patient health. While it has the potential to revolutionize medical imaging, challenges remain, including validation, cost, and accessibility.