"Pancreatic Cancer Detection with Artificial Intelligence"

A new deep learning approach developed by Alibaba Group's Damo Academy has made it possible to accurately detect and classify pancreatic lesions using non-contrast computed tomography. The approach, demonstrated in a paper published in the medical journal Nature Medicine, was effective in detecting 31 cases of pathological changes among over 20,000 asymptomatic individuals, resulting in the successful curing of two early-stage pancreatic cancer patients. This technology shows promise as a new tool for large-scale pancreatic cancer screening, potentially addressing the low survival rates associated with this cancer globally.

Alibaba Group's Damo Academy has developed a deep learning approach for the detection and classification of pancreatic lesions using non-contrast computed tomography. The technology, described in a paper published in Nature Medicine, successfully identified 31 cases of pathological changes in over 20,000 asymptomatic individuals, leading to the cure of two early-stage pancreatic cancer patients. This breakthrough has the potential to serve as a new tool for large-scale pancreatic cancer screening, offering hope for addressing the low survival rates associated with this cancer.