Application progress of artificial intelligence in tumor imaging
GAO Liugang
ZHANG Heng
ZHANG Yutao
NI Xinye
YANG Guanyu
ZHU Yinsu
Abstract：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.
Keywords：Artificial intelligenceTumorImagingEarly detectionPrognostic prediction
Publication Date：2026-02-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：9( 22-30 )