医学
膀胱癌
疾病
危险分层
生活质量(医疗保健)
重症监护医学
癌症
内科学
病理
护理部
作者
Mark Laurie,Steve Zhou,Md Tauhidul Islam,Eugene Shkolyar,Lei Xing,Joseph C. Liao
标识
DOI:10.1016/j.ucl.2023.07.002
摘要
Bladder cancer is a common and heterogeneous disease that poses a significant burden to the patient and health care system. Major unmet needs include effective early detection strategy, imprecision of risk stratification, and treatment-associated morbidities. The existing clinical paradigm is imprecise, which results in missed tumors, suboptimal therapy, and disease progression. Artificial intelligence holds immense potential to address many unmet needs in bladder cancer, including early detection, risk stratification, treatment planning, quality assessment, and outcome prediction. Despite recent advances, extensive work remains to affirm the efficacy of artificial intelligence as a decision-making tool for bladder cancer management.
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