Alibaba open-sources AI model that can detect cancer and nearly 150 conditions

阿里巴巴开源可检测癌症及近150种疾病的AI模型

Alibaba Group Holding’s research arm, Damo Academy, has open-sourced an artificial intelligence model capable of identifying nearly 150 abdominal conditions – including cancers – by reading computed tomography (CT) scans, marking the latest step in the firm’s growing medical AI efforts.

阿里巴巴集团旗下的研究机构达摩院近日开源了一款人工智能模型。该模型能够通过读取计算机断层扫描（CT）影像，识别包括癌症在内的近150种腹部疾病，这标志着该公司在医疗AI领域的布局又迈出了重要一步。

The vision-language model, called Damo Radar, was designed to analyse contrast-enhanced CT scans covering 18 abdominal organs and identify a broad range of diseases and other abnormalities, such as malignant tumours, the institute said on Friday.

该机构周五表示，这款名为“达摩雷达”（Damo Radar）的视觉语言模型旨在分析涵盖18个腹部器官的增强CT扫描影像，并识别包括恶性肿瘤在内的多种疾病及其他异常情况。

The model was trained using CT scans paired with clinical reports. In nearly 40,000 real-world examinations, it achieved an average area under the curve (AUC) of 0.913 across 146 clinical findings. An AUC of 1.0 represents perfect diagnostic accuracy.

该模型通过CT扫描影像与临床报告配对进行训练。在近4万例真实临床检查中，该模型在146项临床发现上的平均曲线下面积（AUC）达到了0.913。AUC值为1.0代表诊断准确率达到完美水平。

The research team said the training method could eventually be extended to other types of medical imaging, calling the model “the world’s first expert-level generalist medical imaging model”.

研究团队表示，这种训练方法最终可以扩展到其他类型的医学影像分析中，并称该模型为“全球首个专家级通用医学影像模型”。