以色列特拉维夫大学研究团队利用人工智能分析常规乳腺癌筛查的乳腺X光片，成功识别出患有冠心病、高血压或曾中风的女性 1。该研究由特拉维夫大学的Viana Copeland博士在德国慕尼黑举行的欧洲心脏病学会年会上展示 1。这一发现表明，乳腺筛查有望成为同时检测心血管疾病的“双重用途”工具，有助于解决女性心脏病常被漏诊的问题 1。
该研究共分析了来自29,921名女性的97,364张乳腺X光片，受试女性平均年龄为54岁 1。在受试群体中，16%的女性患有高血压，2.5%患有冠心病，2.5%曾经历中风 1。结果显示，AI模型识别中风的准确率为86%，识别高血压的准确率为79%，识别冠心病的准确率为78% 1。此外，研究结果不受年龄或是否患有癌症的影响 1。
英国心脏基金会临床主任Sonya Babu-Narayan博士称这一突破令人兴奋 1。
Israeli researchers from Tel Aviv University utilized an artificial intelligence model to analyze routine mammograms used for breast cancer screening, successfully identifying women with coronary heart disease, hypertension, or a history of stroke 1. The findings, presented by Dr. Viana Copeland at the European Society of Cardiology annual meeting in Munich, Germany, suggest that breast screening could serve as a "dual-purpose" tool to simultaneously detect cardiovascular diseases, helping to address the frequent underdiagnosis of heart disease in women 1.
The study analyzed 97,364 mammograms from 29,921 women with an average age of 54 1. Among the participants, 16% had hypertension, 2.5% had coronary heart disease, and 2.5% had experienced a stroke 1. The AI model demonstrated an accuracy rate of 86% in identifying a previous stroke, 79% for hypertension, and 78% for coronary heart disease 1. Notably, the accuracy of these results remained unaffected by the patients' age or whether they had cancer 1.
Dr. Sonya Babu-Narayan, clinical director at the British Heart Foundation, described the breakthrough as exciting 1.
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