Artificial Intelligence and Big Data Technology Innovations Supporting Precision Diagnosis and Treatment of Cancers
LIN Li, ZENG Xianyue, ZHEN Zicheng, CHEN Zihang, YANG Yuxian, SUN Ying*
In recent years, AI (artificial intelligence) and big data technologies have been widely applied in cancer diagnosis, precision medicine, radiotherapy, and cancer research. AI, especially deep learning and big data, has contributed substantially to enhancing the quality and efficiency of cancer diagnosis and treatment, facilitating personalized and precise treatment for individual patients. In the treatment of nasopharyngeal carcinoma, AIassisted contouring, radiotherapy planning, and adaptive radiotherapy have significantly advanced clinical decisionmaking, enabling more personalized treatment strategies. However, ethical concerns, technical limitations, and barriers in clinical implementation remain critical challenges. This article highlights significant advancements in the application of AI in oncology and explores how big data and AI-assisted technologies are reshaping clinical decision-making in NPC treatment. Finally, it analyzes the challenges of AI and big data’s application for cancer diagnosis and treatment, and offers perspectives on their potential impacts on future clinical practice.
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