Abstract B024: Artificial intelligence enables the ethical reconstruction and social value realization of global cancer research: From technological innovation to humanistic care

作者：Zhimin Du, Lijin Lian, Xi Wang, Yu Zheng, Gang Yu, Hui Luo, Peiwu Qin · 发表于：Clinical Cancer Research · 年份：2025 · DOI：10.1158/1557-3265.aimachine-b024 · 被引用次数：1 · 研究领域：Biomedical Ethics and Regulation、Artificial Intelligence in Healthcare and Education

Abstract The technical breakthrough of artificial intelligence (AI) in the field of oncology has moved from the laboratory to the clinic, but the realization of its social value is still facing the "last mile" dilemma. According to the WHO, there are more than 19 million new cancer cases worldwide every year, but the algorithmic advantages of AI are in sharp contrast to the uneven distribution of resources: while high-income countries are using AI to optimize personalized treatment programs, low-income regions are difficult to enjoy the technical dividends due to the lack of data. This work takes the " Technology-Ethics-Fairness" framework as the starting point to explore how to build a more inclusive AI oncology research ecology through interdisciplinary cooperation. Despite the outstanding performance of AI in the fields of tumor image recognition and genomics analysis, most studies focus on technical performance optimization and ignore the impact of social and cultural differences on the implementation of algorithms. For example, the driver gene mutation characteristics of lung cancer in Asian populations are significantly different from those in Europe and the United States, but the proportion of non-European ancestry samples in the public database is less than 10%, which leads to bias when the model is applied across regions. Furthermore, the inherent "black box" nature of AI decision-making exacerbates the crisis of trust between doctors and patients, especially in area...