“这半年，我也用AI救了6条活生生的命啊。”

Core Viewpoint - The article discusses the significant advancements in using AI for early cancer detection, particularly focusing on the GRAPE model for gastric cancer and the PANDA model for pancreatic cancer, highlighting their potential to save lives through early diagnosis [2][3][6][15][59]. Group 1: AI in Cancer Screening - The GRAPE model utilizes standard non-enhanced CT scans for early gastric cancer screening, achieving an AUC of 0.97, indicating a 97% accuracy in identifying gastric abnormalities [11]. - The PANDA model, introduced by Alibaba's Damo Academy, represents the first large-scale early screening method for pancreatic cancer, which traditionally has a very low survival rate of 8% due to late diagnosis [18][28]. - Both models demonstrate that AI can significantly enhance the sensitivity of cancer detection, with GRAPE improving doctors' sensitivity by 21.8% [11]. Group 2: Challenges in Traditional Screening - Traditional gastric cancer screening methods, such as endoscopy, are invasive and costly, leading to low participation rates among the population [7]. - Pancreatic cancer screening is complicated and uncomfortable, often requiring multiple invasive procedures, which deters patients from seeking early diagnosis [22][23]. - The article emphasizes the difficulty in diagnosing pancreatic cancer early, as symptoms often do not appear until the disease is advanced [20][26]. Group 3: Real-World Application and Impact - The deployment of the PANDA model in hospitals, such as Ningbo University Affiliated People's Hospital, has led to the identification of early-stage pancreatic cancer cases that would have otherwise gone undetected [47]. - Medical professionals involved in these AI projects often work on them during their personal time, driven by a commitment to saving lives rather than financial incentives [45][48]. - The article highlights the emotional and ethical dimensions of medical professionals' dedication to using AI for cancer detection, showcasing the human aspect behind technological advancements [49][55]. Group 4: Future Aspirations - There is a strong hope that AI technologies like GRAPE and PANDA will be widely adopted across hospitals and screening facilities, making early cancer detection accessible to everyone [60]. - The article concludes with a vision for a future where diseases like cancer can be effectively managed and potentially eradicated through continuous advancements in medical technology and AI [63][65].