---
格式版本: 2
标题: "Alibaba DAMO Academy Introduces AI Model for Liver Cancer Diagnosis"
原文链接: "https://www.alibabacloud.com/blog/alibaba-damo-academy-introduces-ai-model-for-liver-cancer-diagnosis_603521"
发布日期: "2026-09-01"
发布时间校准状态: "found"
发布时间需复核: "否"
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发布时间证据: "alibaba-cloud-news-publication-date html:original: Alibaba Cloud Community September 1, 2026"
发布时间校准原因: "信源发布日期识别规则直接确认发布时间"
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发布时间未找到原因: ""
发布时间校准时间: "2026-09-02T15:04:01+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-09-02T15:01:58+08:00"
入库时间: "2026-09-02T07:05:02.526Z"
来源平台: "固定入口"
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匹配关键词:
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相关厂家:
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相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
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AI优质: "否"
AI打分: 34
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是阿里达摩院肝癌诊断模型LiON及其万人临床试验，新增可核验事实包括阅片时间缩短27%、恶性病变检测敏感性提升11.5%，以及发现51处漏诊病灶。来源为阿里云官方博客转载Alizila，并链接Nature Medicine论文，来源较可靠；固定知识库未见同一模型记录，但未命中不能证明首次发布。文章虽含医学影像网络和多期影像融合机制，却不涉及超节点、AI机架或机架级基础设施，临床试验也不构成相关商业部署信号，命中应用与模型效率强否决项，不能进入业务情报库。"
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AI新颖性: 12
AI技术细节: 2
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AI完整性: 9
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AI评分知识库版本: "knowledge_base_v1-20260819+runtime.81"
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AI评分知识库检索词: "[\"阿里\",\"https://www.alibabacloud.com/blog\",\"RAS\",\"Meta\",\"DAMO\",\"CT\",\"www.nature.com/articles/s41591-026-04589-y\",\"AI-assisted\",\"PANDA\",\"GRAPE\",\"COCA\"]"
AI评分知识库命中: "[{\"id\":\"july-correct-0001\",\"title\":\"全球首颗2nm GPU来了！苏姿丰甩出“最强AI机架”，CPU性能干翻英伟达 - 智东西\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"阿里\",\"RAS\",\"Meta\",\"CT\"],\"rank\":-8.32603406291458},{\"id\":\"runtime-e865d32689ec8f5f85256de2\",\"title\":\"英特尔披露AI推理GPU技术细节：显存最高480GB，不用HBM - 智东西\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"RAS\"],\"rank\":-5.065135230407614},{\"id\":\"july-correct-0020\",\"title\":\"NVIDIA Vera Rubin：引領代理 AI 的時代\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"阿里\",\"RAS\",\"Meta\",\"CT\"],\"rank\":-5.048496032715251},{\"id\":\"runtime-5581f72bc66fda8e6c6bf711\",\"title\":\"Advancing Standards-Based AI Fabric RAS Through COSMOS Integration\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-10\",\"matchedTerms\":[\"RAS\",\"CT\"],\"rank\":-4.983072931676645},{\"id\":\"july-correct-0116\",\"title\":\"ODCC技术 | 开放生态、极致密度：UPO开启AI大带宽时代新篇章\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"阿里\",\"CT\"],\"rank\":-4.965279446743875}]"
AI摘要: "阿里达摩院联合中国医科大学盛京医院等机构推出肝癌诊断AI模型DAMO LiON，可识别原发性肝癌及易漏诊的肝转移灶。临床试验显示，该AI使医生影像判读时间缩短27%、恶性肿瘤检测灵敏度提高11.5%；"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-02T08:10:50.215Z"
采集批次: "2026年9月2日14点42分57秒"
采集批次ID: "20260902-144257-884"
去重键: "https://www.alibabacloud.com/blog/alibaba-damo-academy-introduces-ai-model-for-liver-cancer-diagnosis_603521"
---

Alibaba DAMO Academy, in collaboration with institutions including Shengjing Hospital of China Medical University, has developed an AI model for liver cancer diagnosis named **DAMO LiON** (Liver DiagnOsis Network).

Clinical trials show that the model accurately identifies primary liver cancer and detects easily overlooked liver metastases. When deployed as a workflow-compatible diagnostic support tool, this AI can help reduce missed or delayed diagnoses and guide early clinical interventions. The breakthrough research has been published in the prestigious international journal [Nature Medicine](https://www.nature.com/articles/s41591-026-04589-y).

## Identifying Liver Tumors with High Accuracy

The liver is a common site for malignancies, including primary liver cancer and metastases originating from cancers in other organs, such as colorectum or pancreas. However, early diagnosis remains a challenge. Small lesions, compounded by cirrhosis, fatty liver disease, and complex anatomy, can cause even experienced radiologists to overlook critical indicators on contrast-enhanced CT scans.

To bridge this gap, DAMO Academy leveraged its years of expertise in medical imaging AI to develop DAMO LiON. Experimental results demonstrate that the AI model can sometimes achieve higher accuracy in identifying malignant tumors than radiologists alone in complicated cases.

During clinical testing, the AI-assisted system delivered major improvements, such as **27% faster** **image interpretation time for physicians and 11.5% increase in sensitivity for detecting malignancies.** In addition, junior physicians aided by the system can achieve diagnostic performance comparable to that of senior specialists.

Notably, **during a two-month, real-world prospective clinical trial involving over 10,000 patients, LiON detected 51 confirmed, previously overlooked lesions, including 15 small metastases.** Most of these lesions were small, with an average of 1 cm in size, and early detection allows the patients to receive timely, potentially life-saving treatments.

## Moving Medical AI from Screening to Diagnosis

To achieve this level of accuracy, DAMO LiON employs an advanced network architecture. It captures global relationships between lesions and the entire liver while preserving fine local textures and boundaries. This dramatically improves performance in challenging cases involving fatty liver, cirrhosis, or complex anatomy. Furthermore, the AI iteratively fuses multi-phase imaging data to detect pixel-level differences across phases, precisely identifying tiny, transient lesions that appear only briefly during contrast-enhanced CT scans.

Since its establishment in 2017, DAMO Academy has pioneered the use of AI to detect subtle pathological features imperceptible to the human eye. The academy has successfully developed several oncology AI models, including [**DAMO PANDA**](https://www.alibabacloud.com/blog/damo-academys-ai-breakthrough-makes-pancreatic-cancer-easier-to-detect_600633) for pancreatic cancer screening, [**DAMO GRAPE**](https://www.alizila.com/news-roundup-alibabas-ai-advances-in-multimodal-model-healthcare-and-manga-innovation/) for gastric cancer screening, [**DAMO COCA**](https://www.alizila.com/damo-academy-unveils-coca-ai-model-for-colorectal-cancer-detection/) for colorectal cancer screening. With DAMO LiON, the academy extends its medical AI capabilities beyond early screening and deep into the diagnostic domain, helping more patients receive timely, accurate, and effective care.

*This article was originally published on [Alizila](https://www.alizila.com/alibaba-damo-academy-introduces-ai-model-for-liver-cancer-diagnosis/) written by Crystal Liu.*
