演講摘要：Artificial intelligence has become a popular technique nowadays including the applications of intelligent robots, and machine vision. Especially for pattern recognition, the automatic classifications of human face, fingerprint, and iris are already implemented in consumer electronics. Based on the success of pattern recognition and artificial intelligence, computer-aided diagnosis (CAD) is thus developed to provide diagnostic suggestions on clinical examination. After quantitative feature extraction from medical images such as ultrasound, magnetic resonance imaging, CAD can be a second reader in improving reader performance for malignancy evaluation. Additionally, CAD would be promising in tumor detection from screening populations to reduce the workload of radiologists.