Journal of Capital Medical University 2025;46(3):395-400

doi:10.3969/j.issn.1006-7795.2025.03.001

Application of artificial intelligence in the study of cancer diagnosis and treatment research

Honglei LIU 1 ; Yingliang YANG 1 ; Ronghao LI 1 ; Congmin ZHU 1 ; Xu ZHANG 1

Affiliations

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Keywords

artificial intelligence; precision medicine; medical big data; cancer research; oncology diagnostics and therapeutics

Country

China

Language

Chinese

Abstract

As a major global public health concern,cancer has witnessed a continues rise in both incidence and mortality rates.It pose not only a severe threat to human health but also a heavy burden on socioeconomic systems.Despite remarkable advancements in oncology research,critical challenges such as tumor heterogeneity,drug resistance,and limitations in early screening and diagnostic technologies remain to be addressed.Against this backdrop,artificial intelligence(AI),with its unique advantages in big data analysis,pattern recognition,and predictive modeling,has opened new avenues for cancer research.By integrating multi-modal data,including omics,imaging,and clinical information,AI not only accelerates investigations into fundamental tumor mechanisms but also demonstrates immense potential in areas such as early screening,biomarker discovery,and personalized treatment.These advancements have fostered a deeper integration of precision medicine and oncology.This review provides a comprehensive overview of the most recent progresses in the application of AI in cancer diagnosis and treatment research,with a focus on its practical value across diverse data types and clinical scenarios,as well as future directions for its development.