In recent years, research on artificial intelligence (AI) and its applications in disease detection and diagnosis has been gaining traction. Artificial intelligence methods such as machine learning (ML), deep learning, and convolutional neural networks offer efficient ways to classify, recognize, cluster, predict, and detect anomalies in complex medical data. This column covers the research based on artificial intelligence techniques to diagnose numerous diseases such as cancer, diabetes, heart disease, skin disease, liver disease, brain cancer, and parkinson.