人工智能在肿瘤影像学中的应用进展OA

Medical imaging plays an indispensable role in tumor diagnosis and treatment,but traditional methods are plagued by prominent issues,including subjective interpretation and challenges in early lesion detection.In recent years,breakthroughs in artificial intelligence(AI)have brought a paradigm shift to tumor imaging.By leveraging machine learning and deep learning techniques,AI has substantially enhanced the sensitivity of early tumor detection,surgical precision,the accuracy of prognostic prediction,and the personalization of therapeutic decision-making.This article provides a systematic review of the developmental trajectory and core applications of AI in tumor imaging,analyzes current challenges,and outlines future directions,with the aim of offering theoretical support for the establishment of an AI-driven precision oncology diagnostic and treatment system.