Beijing United Family Hospital and Alibaba DAMO Academy Launch AI Screening Initiative

Beijing, August 4, 2025 - In a significant advancement for preventive healthcare, Beijing United Family Hospital has entered a strategic partnership with Alibaba's research arm DAMO Academy to implement AI-driven multi-disease screening technologies. The collaboration aims to make advanced medical diagnostics more accessible through innovative artificial intelligence applications.

Technology Meets Clinical Expertise

The partnership combines DAMO Academy's "Scan and Detect Multiple Conditions" AI platform with Beijing United Family Hospital's international-standard medical services. This technology can identify multiple conditions from a single plain CT scan, including hard-to-detect cancers and chronic diseases that traditionally require specialized imaging.

Dr. Pan Zhongying, President of Beijing United Family Hospital, emphasized: "This integration of AI with clinical care represents a paradigm shift in how we approach disease prevention. Our goal is to deliver more efficient, reliable diagnostics while maintaining our patient-centered care philosophy."

Focus Areas: Cancer and Chronic Disease Detection

Gastrointestinal Cancer Screening

• The hospital's newly established Gastrointestinal Cancer Center will serve as a testing ground for the AI technology
• DAMO's system has shown particular effectiveness in detecting pancreatic and gastric cancers
• Technology has earned FDA "Breakthrough Device" designation and been featured in Nature Medicine

Chronic Disease Monitoring

• System addresses China's aging population challenges through:
  • Osteoporosis risk assessment beyond postmenopausal women
  • Severe fatty liver detection
  • Cardiovascular disease risk factor analysis
• Enables personalized, lifelong health management plans

Broader Implications for Healthcare

The collaboration explores AI applications across the entire medical service chain, potentially revolutionizing:

• Early disease detection protocols
• Population health management strategies
• Healthcare resource allocation

The plain CT-based approach could significantly reduce diagnostic costs while improving detection rates for conditions that often go undiagnosed until advanced stages.

Key Points:

• Strategic partnership combines clinical expertise with cutting-edge AI technology
• Focus on gastrointestinal cancers and chronic diseases affecting aging populations
• Technology can detect multiple conditions from a single plain CT scan, reducing costs and improving accessibility
• Has received FDA recognition and been published in leading medical journals