Mei Ri Shang Bao·2025-09-01 23:24Core Insights - The integration of AI technology in emergency medicine, specifically for the rapid identification of acute aortic syndrome (AAS), represents a significant advancement in healthcare, potentially saving lives by improving diagnostic accuracy and speed [1][2][4] Group 1: AI Model Development - The AI model named iAorta, developed by Zhejiang University First Hospital and Alibaba Damo Academy, can identify acute aortic syndrome within seconds using standard CT scans [1][2] - The model has been deployed in the first ten hospitals in Zhejiang and is set for nationwide promotion, aiming to enhance early diagnosis in emergency settings [1][4] Group 2: Clinical Impact - AAS is a critical cardiovascular condition with a high mortality rate if not diagnosed within 24 hours, yet traditional diagnostic methods often lead to misdiagnosis [2][3] - The AI technology assists in reducing misdiagnosis and delays in treatment, particularly in grassroots hospitals where resources may be limited [3][4] Group 3: Broader Applications and Future Plans - Alibaba Damo Academy has been a pioneer in medical AI, developing technologies that allow for the detection of multiple conditions from a single CT scan, with applications extending to various cancers and chronic diseases [5] - The initiative aims to improve healthcare delivery across different hospital levels, contributing to the broader goal of enhancing public health in China [4]