AI model analyses CT scans of 18 abdominal organs, detecting diseases, abnormalities and malignant tumours
The logo of Alibaba Group is lit up at its office building in Beijing, China August 9, 2021. REUTERS
Alibaba has open-sourced an artificial intelligence (AI) model capable of identifying nearly 150 abdominal conditions, including cancers, from computed tomography (CT) scans.
The vision-language model, called Damo Radar, was developed by Alibaba’s research arm, Damo Academy, the institute said Friday, according to the Hong Kong-based South China Morning Post.
The model analyzes contrast-enhanced CT scans covering 18 abdominal organs and can identify a broad range of diseases and abnormalities, including malignant tumors.
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Damo Radar achieved an average area under the curve (AUC) score of 0.913 across 146 clinical findings in nearly 40,000 real-world examinations, approaching the maximum score of 1.0.
The research team described it as “the world’s first expert-level generalist medical imaging model,” adding that it could eventually be expanded to other types of medical imaging.
In a study involving 26 radiologists from multiple hospitals, the model outperformed 23 participants on average.
With the model’s assistance, radiologists also reduced missed diagnoses by 10% and cut diagnosis time by more than 30%.




