人工智能在乳腺癌影像诊疗中的研究进展

Research progress of artificial intelligence in imaging diagnosis and treatment of breast

乳腺癌是全球最常见的癌症之一,也是导致女性癌症死亡的主要原因。近年来,随着计算机性能的飞速提升,人工智能在各个领域中大放异彩,拥有自动分析图象能力的人工智能深度学习在医疗领域同样引起越来越多的关注,医疗机构开始重视医疗数据的收集,尤其是大量的医学影像资料的积累。当前对于乳腺疾病的常规影像学检查方法主要有3种:乳腺X线摄影、乳腺超声检查和乳腺MRI检查。人工智能结合乳腺影像学检查为乳腺癌的诊疗提供了前所未有的机会。本文现从人工智能和乳腺影像数据相结合在乳腺癌的诊断、治疗及预后预测等方面进行综述,以期将人工智能更加广泛、成熟地运用于乳腺癌的影像诊疗中,为推动人工智能结合乳腺影像数据实现乳腺癌精准医疗由理论到临床实践的转化应用提供思路。

Breast cancer is one of the most common cancers worldwide and the leading cause of cancer death in women.In recent years,with the rapid improvement of computer performance,artificial intelligence shines in various fields,and artificial intelligence deep learning with automatic image analysis ability has also attracted more and more attention in the medical field,medical institutions have begun to pay attention to the collection of medical data,especially the accumulation of a large number of medical image data.At present,there are three conventional imaging methods for breast diseases:mammography,breast ultrasound and breast MRI.Artificial intelligence combined with breast imaging offers unprecedented opportunities for the diagnosis and treatment of breast cancer.This paper reviews the combination of artificial intelligence and breast image data in the diagnosis,treatment and prognosis prediction of breast cancer,hoping that artificial intelligence can be more widely and maturely applied to the imaging diagnosis and treatment of breast cancer,so as to provide ideas for promoting the transformation and application of precision medicine for breast cancer from theory to clinical practice by combining artificial intelligence with breast image data.