Artificial Intelligence in Breast Cancer Diagnostic and Predictive Modeling
Artificial intelligence(AI)is utilized in the diagnosis of pathology and imaging of breast cancer,in the search for lymphatic or bone metastases,and in the assessment of breast pa-renchymal tissue density.It improves the efficacy and accuracy of breast cancer image readings while simultaneously relieving some of workload for physicians,particularly in situations where image quality is insufficient for diagnosis.Additionally,with its excellent data analysis and simula-tion reproduction capabilities,AI is frequently employed insurvival prediction,therapeutic re-sponse prediction,clinical staging,risk and prognosis assessment in breast cancer.The integration of AI with clinical examination has demonstrated the great potential of non-invasive diagnosis of molecular subtypes of breast cancer;the combination of deep learning and nano genomics has brought new possibilities for accurate diagnosis of breast cancer.Nevertheless,in the establish-ment,source,scale,and security of AI databases,acceptance testing,quality assurance,and imple-mentation operations in clinical practice,how to realize the generalization properties of AI and medical decision support tools,how to deal with erroneous decision making and mismanagement caused by AI,and how to prove the stability and safety of AI models in the long term remain open issues at present.
breast cancerartificial intelligencediagnosisprediction modeling
万方数据
维普
