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

doi:10.3969/j.issn.1006-7795.2025.03.001

Abstract

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.

Key words: artificial intelligence, precision medicine, medical big data, cancer research, oncology diagnostics and therapeutics

CLC Number:

Liu Honglei, Yang Yingliang, Li Ronghao, Zhu Congmin, Zhang Xu. Application of artificial intelligence in the study of cancer diagnosis and treatment research[J]. Journal of Capital Medical University, 2025, 46(3): 395-400.

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