Research progress of AI in cross-modal generation of chest imaging
NI Qionghua
LIN Xiaoqing
ZHAI Weihao
ZHOU Taohu
FAN Li
Abstract：Chest medical imaging techniques such as X-rays,computed tomography(CT),and magnetic resonance imaging(MRI)are widely used for disease screening and diagnosis.The development of artificial intelligence(AI)technology enables the con-version of images of different modalities,thereby filling the data gap in medical imaging diagnosis and treatment,and improving the ef-ficiency and accuracy of medical services.The paper analyzes the research progress of cross-modal generation technology in improving the diagnosis and treatment of chest diseases,and elaborates on the application of cross-modal generation technology for chest imaging in medical imaging diagnosis and treatment,to provide guidance for subsequent research.
Keywords：Artificial intelligenceCross-modal generationModality conversionMedical imagingDeep learningChest imaging
Publication Date：2025-08-30
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 270-274 )