但对扫描结果的解读也有可能出错,而且在所有乳房X光检查结果中,有一小部分要么是假阳性(将健康病人误诊为患有癌症),要么是假阴性(在疾病的传播过程中,没有诊断出疾病)。
Now researchers at Google Health have trained an artificial intelligence model to detect cancer in breast scans from thousands of women in Britain and the United States.
如今谷歌健康中心的研究人员已训练出一个人工智能模型,它可以通过乳房扫描来检测英国和美国数千名女性是否罹患癌症。
The images had already been reviewed by doctors in real life but unlike in a clinical setting, the machine had no patient history to inform its diagnoses.
实际上,医生们已经检查过这些图像了,不过与临床环境不同的是,这台机器不知道病人的病史,也没有据此来进行诊断。
The team found that their AI model could predict breast cancer from the scans with a similar accuracy level to expert radiographers.
该研究团队发现,他们的人工智能模型可以通过扫描检查来预测乳腺癌,而且其准确度与放射科专家相当。
Further, the AI showed a reduction in the proportion of cases where cancer was incorrectly identified - 5.7 percent in the US and 1.2 percent in Britain, respectively.
此外,该人工智能模型还显示,癌症被错误识别的比例有所下降,其中美国降低了5.7%,英国降低了1.2%。
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