PDF(Pubmed)
Abstract：
Despite the deployment of specific breast cancer screening strategies, breast cancer incidence rates have escalated significantly over recent decades. In a bid to reverse this trend, scientists have engaged in extensive epidemiological research into breast cancer prevalence, identifying numerous individual risk factors and promoting population-wide health education. Coupled with advances in genetic testing, risk prediction models based on breast cancer genes have been developed, albeit with inherent limitations. In the new millennium, the emergence of artificial intelligence (AI) as a dominant technological force suggests that breast cancer prediction models developed with AI may represent the next frontier in research.
摘要：
尽管部署了特定的乳腺癌筛查策略，近几十年来，乳腺癌发病率显著上升。为了扭转这一趋势，科学家对乳腺癌患病率进行了广泛的流行病学研究，识别众多个体危险因素，促进全民健康教育。再加上基因检测的进步，已经开发了基于乳腺癌基因的风险预测模型，尽管有固有的局限性。在新的千年里,人工智能（AI）作为主导技术力量的出现表明，用AI开发的乳腺癌预测模型可能代表研究的下一个前沿。
