Traditional medicine works well, but it faces several challenges. Diagnosis can sometimes be slow or less accurate because doctors rely on their experience while working under time pressure, especially in complex cases. In addition, the medical field deals with huge amounts of data such as lab results, imaging, and patient history, which are difficult for a human to process quickly. Doctors also face heavy workloads due to the large number of patients, and like any human profession, medical practice is still subject to occasional errors. This is where artificial intelligence comes in as a powerful support tool. AI can analyze medical images with high speed and accuracy, helping detect diseases such as cancer at earlier stages. As a result, the integration of AI into medicine leads to faster and more accurate diagnoses, fewer medical errors, and more personalized treatments tailored to each patient. Keywords: Artificial Intelligence, Healthcare, Medical Diagnosis, Machine Learning, Deep Learning
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