加州大学洛杉矶分校的研究显示,AI可以将早期乳癌检查在两次检查之间增加30%。 UCLA study shows AI could boost early breast cancer detection between screenings by 30%.

在《国家癌症研究所期刊》上发表的由加州大学洛杉矶分院牵头的一项研究发现,AI可以改进在两次筛查之间对乳腺癌的早期检测,从而有可能将其发病率降低30%。 A UCLA-led study published in the Journal of the National Cancer Institute found that AI could improve early detection of breast cancers between screenings, potentially reducing their rates by 30%. 人工智能工具 " Transpara " 有效地标记了乳房X光照片上可见但放射科医生忽略的癌症,尽管与尚未出现的癌症相比,该工具不太精确。 The AI tool, Transpara, was effective at flagging cancers visible on mammograms but missed by radiologists, though it was less accurate with cancers not yet present. 该研究强调了美国和欧洲筛查做法的差异。 The study highlights differences in US and European screening practices.