Core Viewpoint - Artificial intelligence has become a crucial tool in the fight against cancer, particularly with the launch of the DAMO GRAPE AI model for early gastric cancer detection, which significantly improves detection rates through large-scale clinical studies [1][4] Group 1: AI in Cancer Detection - The DAMO GRAPE AI model is the world's first imaging screening tool for gastric cancer, developed by Zhejiang Provincial Cancer Hospital in collaboration with Alibaba's DAMO Academy [1] - The model has been validated through a large-scale clinical study involving nearly 100,000 participants across 20 hospitals, leading to a substantial increase in gastric cancer detection rates [1][4] - The technology has been shared globally, covering nine countries and serving 20 million people, showcasing a significant advancement in AI and healthcare [4] Group 2: Gastric Cancer Statistics in China - China has approximately 360,000 new gastric cancer cases and 260,000 deaths annually, ranking third in mortality among all malignancies [7] - The early detection rate of gastric cancer in China is only 15%-20%, compared to over 60% in Japan and nearly 70% in South Korea, highlighting a significant gap in early diagnosis [8][9] - The five-year survival rate for gastric cancer patients in China is 35.9%, which is considerably lower than that of Japan (60.3%) and South Korea (68.9%) [8] Group 3: Challenges in Early Detection - The low early detection rate in China is attributed to various factors, including insufficient medical resources, low public awareness, and limitations of traditional screening methods [10][11] - Traditional methods like questionnaires and high-risk group endoscopies have low detection rates, with only 1.16% of high-risk individuals being identified [10] - The need for a cost-effective, accessible, and non-invasive screening method is emphasized, as current methods like endoscopy are invasive and not widely accepted by the public [12][13] Group 4: Proposed Solutions - A tailored screening approach that identifies high-risk populations through affordable and non-invasive methods is necessary for China, given its large population [11][12] - The collaboration with DAMO Academy for AI screening is seen as a promising opportunity to enhance early detection rates and improve patient outcomes [13]

Core Viewpoint - The introduction of the world's first AI model for gastric cancer screening, DAMO GRAPE, represents a significant advancement in early detection and intervention, potentially increasing the five-year survival rate from 35% to over 90% if cancer is detected early [3][5]. Group 1: AI Model Development and Application - The DAMO GRAPE model utilizes plain CT imaging to identify early gastric cancer lesions and has undergone large-scale clinical research involving nearly 100,000 individuals across 20 centers [3]. - The model's initial screening significantly reduces the high-risk population for gastric cancer, achieving detection rates of 24.5% and 17.7% in two regional hospitals, with approximately 40% of detected cases being asymptomatic [4]. - The AI model demonstrates a sensitivity of 85.1% and specificity of 96.8%, surpassing radiologist diagnoses by 21.8% and 14.0%, respectively, making early detection of gastric cancer via plain CT feasible [4]. Group 2: Clinical Impact and Future Plans - The AI model has shown the ability to detect gastric cancer 2 to 10 months earlier than traditional methods, as evidenced by a case where a patient was diagnosed with advanced gastric cancer that could have been identified earlier with AI monitoring [4]. - The model is being deployed in high-incidence areas for gastric cancer across the country, with plans for large-scale promotion both domestically and internationally [5].