logo iconlogo
language iconEN
language iconEN
Contact Us
World-leading
AI Imaging Solution
AI-driven medical imaging: advancing early detection to its prime time
Contact Us
arrow
News
100+
Number of published papers
134
Number of international patents
Academic Achievements
Chinese Radiological Imaging Research on Pancreatic Cancer Early Screening Published in Nature Medicine for the First Time
Social Honors
Alibaba’s Medical AI Recognized on Fortune’s Change the World List
On September 25, 2024, Fortune magazine released the 2024 "Change the World" list. Alibaba became the only Chinese company to be ranked among the top ten due to its AI technology-assisted detection of pancreatic cancer lesions. This is the 6th time for Alibaba to be on the "Change the World" list published by Fortune in the past 10 years, making it the Chinese company with the most appearances on the list. The 2024 list focuses on technological innovation in various fields such as space and healthcare, especially technology companies that harness the potential positive power of AI to achieve greater social benefits. According to the Fortune list, Alibaba has taken advantage of its leading AI technology and collaborated with more than a dozen medical institutions worldwide to launch the PANDA AI model. For the first time, this enables humans to conduct large-scale early pancreatic cancer screenings in a cost-effective and efficient manner through the "plain CT + AI" technology, helping to overcome the "king of cancers". At present, this research achievement has been made available to doctors and researchers worldwide.
Social Honors
Annual highlight study in Stanford's “AI Index Report 2024”
Recently, Stanford University released the "AI Index Report 2024". Thanks to the innovative breakthroughs of AI in large-scale early screening for pancreatic cancer, the medical AI of Alibaba DAMO Academy has been selected as the Highlighted Research in the field of science and medicine for the year. It is also the only AI highlighted research from a Chinese technology company in the report. Currently, this technology has been piloted for public welfare in Lishui, Zhejiang, assisting doctors in screening for various diseases including pancreatic cancer.
International Collaboration
Collaborate with WHO to Assist Developing Countries Against Cancer
On May 30th, the United Nations held the AI for Good Global Summit in Geneva, Switzerland. Alibaba DAMO Academy was invited to share its AI multi-cancer early screening technology.
Social Honors
Selected as One of 2023 China Representative Medical AI Algorithm
Recently, the results of the selection of representative medical AI algorithms in China for 2023 were announced. The "Hierarchical Segmentation Model of Normal Human Organs", jointly proposed by the First Affiliated Hospital of Zhejiang University School of Medicine and Alibaba DAMO Academy, was selected.
International Collaboration
Reached a Medical AI Cooperation with Antigua and Barbuda
On January 25th, the Ministry of Health of Antigua and Barbuda and Alibaba DAMO Academy signed a letter of intent in Hangzhou, aiming to promote the application and development of medical AI in Antigua and Barbuda and enhance the level of digital health. The Prime Minister of Antigua and Barbuda, Gaston Browne, who was on an official visit to China, witnessed the signing ceremony.
//gw.alicdn.com/imgextra/i1/O1CN01wXFrQT1R54WoiigeS_!!6000000002059-2-tps-360-209.png//gw.alicdn.com/imgextra/i3/O1CN01j9bxbU21Dc59zzVRA_!!6000000006951-2-tps-378-213.png//gw.alicdn.com/imgextra/i4/O1CN01csiin81pi30lybQ2j_!!6000000005393-2-tps-376-212.png//gw.alicdn.com/imgextra/i4/O1CN01jbs7tz1SzEiHkSkzq_!!6000000002317-2-tps-356-234.png//gw.alicdn.com/imgextra/i3/O1CN01v5J05g1nkDerZtimh_!!6000000005127-2-tps-358-239.png//gw.alicdn.com/imgextra/i4/O1CN01AamuiG1mbEGemeRZY_!!6000000004972-2-tps-362-219.png//gw.alicdn.com/imgextra/i4/O1CN01p7694K1vZhUHnRN0L_!!6000000006187-2-tps-376-251.png//gw.alicdn.com/imgextra/i2/O1CN01TAQmCb1XbUFqrjG9i_!!6000000002942-2-tps-586-389.png
//gw.alicdn.com/imgextra/i4/O1CN01u0sbTo1KKuv7OlCvo_!!6000000001146-2-tps-357-234.png//gw.alicdn.com/imgextra/i3/O1CN01ZpWnrf1s9e6qwbukg_!!6000000005724-2-tps-374-250.png//gw.alicdn.com/imgextra/i1/O1CN01Leo8hS1njlGJFeblY_!!6000000005126-2-tps-356-237.png//gw.alicdn.com/imgextra/i4/O1CN01Hy6MCX1hdS6yFYXD4_!!6000000004300-2-tps-404-270.png//gw.alicdn.com/imgextra/i4/O1CN01uwWJuK1gHddE04KtM_!!6000000004117-2-tps-388-222.png//gw.alicdn.com/imgextra/i2/O1CN01r5MMrU1RTnupVxEKx_!!6000000002113-2-tps-384-214.png//gw.alicdn.com/imgextra/i3/O1CN015H9MwH1rDwCkyJXNZ_!!6000000005598-2-tps-356-229.png//gw.alicdn.com/imgextra/i3/O1CN01whW7WI1voM9yswj68_!!6000000006219-2-tps-386-257.png
//gw.alicdn.com/imgextra/i4/O1CN01tgBfHx1cUgRwMhoRQ_!!6000000003604-2-tps-504-207.png//gw.alicdn.com/imgextra/i2/O1CN01fL2v1c1nAxA216AJz_!!6000000005050-2-tps-428-285.png//gw.alicdn.com/imgextra/i1/O1CN01aPUZYk1cnSgl2flpZ_!!6000000003645-2-tps-357-237.png//gw.alicdn.com/imgextra/i4/O1CN01W0HCdQ1qdkuoHkmdc_!!6000000005519-2-tps-361-254.png//gw.alicdn.com/imgextra/i4/O1CN01HL4PAT1YyfvDITptc_!!6000000003128-2-tps-361-228.png//gw.alicdn.com/imgextra/i3/O1CN013DgZsq23oN6KlIZin_!!6000000007302-2-tps-362-241.png//gw.alicdn.com/imgextra/i2/O1CN01UZK8W51kitfOBVUvq_!!6000000004718-2-tps-372-210.png//gw.alicdn.com/imgextra/i1/O1CN01C0k0HP1T3MHFi8F5V_!!6000000002326-2-tps-362-239.png
100,000+
Number of patients screened
47,690,000+
Number of API calls
Solution
Use deep learning to drive medical reform and focus on medical imaging AI screening
Cardiovascular Disease
91.8%
Specificity
61.6%
Sensitivity
0.88
AUC
Colorectal Cancer Screening
98.8%
Specificity
91.8%
Sensitivity
0.99
AUC
Pancreatic Cancer Screening
99.9%
Specificity
92.9%
Sensitivity
0.99
AUC
Fatty Liver
99.9%
Specificity
74.7%
Sensitivity
0.92
AUC
Esophageal Cancer Screening
98.0%
Specificity
90.1%
Sensitivity
0.98
AUC
Cardiovascular Disease
91.8%
Specificity
61.6%
Sensitivity
0.88
AUC
Colorectal Cancer Screening
98.8%
Specificity
91.8%
Sensitivity
0.99
AUC
Pancreatic Cancer Screening
99.9%
Specificity
92.9%
Sensitivity
0.99
AUC
Fatty Liver
99.9%
Specificity
74.7%
Sensitivity
0.92
AUC
Esophageal Cancer Screening
98.0%
Specificity
90.1%
Sensitivity
0.98
AUC
Acute Aortic Syndrome
99.2%
Specificity
94.2%
Sensitivity
0.99
AUC
Gastric Cancer Screening
96.8%
Specificity
85.1%
Sensitivity
0.97
AUC
Bone Mineral Density
88.9%
Specificity
80.6%
Sensitivity
0.92
AUC
Acute Aortic Syndrome
99.2%
Specificity
94.2%
Sensitivity
0.99
AUC
Gastric Cancer Screening
96.8%
Specificity
85.1%
Sensitivity
0.97
AUC
Bone Mineral Density
88.9%
Specificity
80.6%
Sensitivity
0.92
AUC
Acute Aortic Syndrome
99.2%
Specificity
94.2%
Sensitivity
0.99
AUC
Gastric Cancer Screening
96.8%
Specificity
85.1%
Sensitivity
0.97
AUC
Bone Mineral Density
88.9%
Specificity
80.6%
Sensitivity
0.92
AUC
Acute Aortic Syndrome
99.2%
Specificity
94.2%
Sensitivity
0.99
AUC
Gastric Cancer Screening
96.8%
Specificity
85.1%
Sensitivity
0.97
AUC
Bone Mineral Density
88.9%
Specificity
80.6%
Sensitivity
0.92
AUC
Our Case
Public Welfare Project
Public Welfare Projects for Multiple-cancer-early-screening Have Been Piloting in Multiple Sites
From February 2024, public welfare projects for multiple-cancer-early-screening started to pilot in multiple sites
Real Case
Precise Disease Localization: How DAMO PANDA System Optimizes Hospital Diagnosis and Treatment Processes
In 2024, a 33-year-old female patient presented to the hospital's emergency medicine department with pneumonia, and during a routine chest plain CT examination, the DAMO PANDA system analyzed the images and issued an alert suggesting a risk of other pancreatic tumors that were not pancreatic cancer (PDAC 0%, non-PDAC 100%). This finding was of great concern to the physician and was followed up in conjunction with extensive clinical experience. Subsequently, the patient underwent surgery and postoperative pathology confirmed the diagnosis of carcinoma in situ. The early warning of the DAMO PANDA system not only improved the accuracy of pancreatic lesion detection, but also accelerated the speed of diagnosis, providing the patient with a better chance of treatment. This case demonstrates the critical role of AI in medical diagnosis, and that early diagnosis is crucial to improving patient survival.
Real Case
Early Detection, Early Treatment: The Crucial Role of DAMO PANDA System in Physical Examinations
In 2024, during a low-dose CT scan of the chest performed by a 75-year-old female patient at a physical examination center, the DAMO PANDA system analyzed the images and issued an alert (PDAC 2.42%, non-PDAC 76.65%), suggesting dilatation of the main pancreatic duct and the possibility of pancreatic head occupancy. This alert caught the physicians' attention and they decided to perform a more in-depth examination. The patient was then admitted to the hospital and underwent radical surgical resection shortly thereafter, with pathology confirming the diagnosis of a small pancreatic cancer with only 1 mm of truly cancerous tissue. The early warning of the DAMO PANDA system bought the patient valuable treatment time, and this case proves once again the importance of regular medical checkups and advanced medical technology in early disease detection.
Public Welfare Project
Public Welfare Projects for Multiple-cancer-early-screening Have Been Piloting in Multiple Sites
From February 2024, public welfare projects for multiple-cancer-early-screening started to pilot in multiple sites
Real Case
Precise Disease Localization: How DAMO PANDA System Optimizes Hospital Diagnosis and Treatment Processes
In 2024, a 33-year-old female patient presented to the hospital's emergency medicine department with pneumonia, and during a routine chest plain CT examination, the DAMO PANDA system analyzed the images and issued an alert suggesting a risk of other pancreatic tumors that were not pancreatic cancer (PDAC 0%, non-PDAC 100%). This finding was of great concern to the physician and was followed up in conjunction with extensive clinical experience. Subsequently, the patient underwent surgery and postoperative pathology confirmed the diagnosis of carcinoma in situ. The early warning of the DAMO PANDA system not only improved the accuracy of pancreatic lesion detection, but also accelerated the speed of diagnosis, providing the patient with a better chance of treatment. This case demonstrates the critical role of AI in medical diagnosis, and that early diagnosis is crucial to improving patient survival.
Real Case
Early Detection, Early Treatment: The Crucial Role of DAMO PANDA System in Physical Examinations
In 2024, during a low-dose CT scan of the chest performed by a 75-year-old female patient at a physical examination center, the DAMO PANDA system analyzed the images and issued an alert (PDAC 2.42%, non-PDAC 76.65%), suggesting dilatation of the main pancreatic duct and the possibility of pancreatic head occupancy. This alert caught the physicians' attention and they decided to perform a more in-depth examination. The patient was then admitted to the hospital and underwent radical surgical resection shortly thereafter, with pathology confirming the diagnosis of a small pancreatic cancer with only 1 mm of truly cancerous tissue. The early warning of the DAMO PANDA system bought the patient valuable treatment time, and this case proves once again the importance of regular medical checkups and advanced medical technology in early disease detection.
Join Us for a Healthier Future
Contact Us
Contact Us
DAMOMED@alibaba-inc.com
Quick Links
Legal NoticesDAMO Academy
Copyright © Alibaba Damo Academy (Beijing) Technology Co., Ltd.