Alibaba, Beijing hospital partner to use AI in cancer treatment

Alibaba, Beijing hospital partner to use AI in cancer treatment

Tech in Asia·2025-08-06 13:00

Alibaba’s Damo Academy and Beijing United Family Hospital have announced a partnership to use AI in cancer diagnosis and treatment in China.

The collaboration will use Damo Academy’s “One Sweep Multi-Check” AI system to offer multi-disease screening services.

The system can identify several diseases through a single CT scan.

The partnership will also explore using AI to detect chronic conditions such as osteoporosis and severe fatty liver disease.

.source-ref{font-size:0.85em;color:#666;display:block;margin-top:1em;}a.ask-tia-citation-link:hover{color:#11628d !important;background:#e9f6f5 !important;border-color:#11628d !important;text-decoration:none !important;}@media only screen and (min-width:768px){a.ask-tia-citation-link{font-size:11px !important;}}

🔗 Source: South China Morning Post

🧠 Food for thought

1️⃣ China’s AI healthcare boom creates massive opportunities for strategic partnerships

This Alibaba-BJU collaboration reflects China’s rapidly expanding AI healthcare market, which is projected to grow from $1.59 billion in 2023 to $7.33 billion by 2028, a compound annual growth rate of 42.5%1.

The market expansion is driven by China’s aging population and physician shortages, creating urgent demand for AI solutions that can augment medical capabilities2.

The chronic and autoimmune drug market in China alone is projected to reach $20 billion by 2030, with AI playing a crucial role in research and development3.

This growth trajectory explains why major tech companies like Alibaba are investing heavily in medical AI partnerships with established healthcare providers.

The collaboration allows Alibaba’s Damo Academy to access real clinical environments while giving BJU access to advanced screening technology, creating a mutually beneficial arrangement in a high-growth market.

2️⃣ AI cancer detection has reached impressive accuracy levels that justify clinical deployment

Recent AI breakthroughs in cancer detection support the viability of systems like Damo Academy’s “One Sweep Multi-Check” platform.

Harvard scientists developed an AI model called CHIEF that achieved nearly 94% accuracy in cancer detection across 19 different cancer types, demonstrating the maturity of AI diagnostic capabilities4.

This level of accuracy is particularly crucial given that 80% of patients survive at least 10 years when common cancers are diagnosed early, making rapid, reliable screening systems potentially life-saving5.

The global urgency is clear, with cancer diagnoses expected to reach 35 million by 2050 according to WHO estimates. AI screening systems offer a scalable solution to handle the increasing diagnostic workload.

The AI cancer diagnostics sector’s rapid growth is reflected in investment levels, with over $1.4 billion raised in just the first half of 2019 alone5.

Recent Alibaba developments

……

Read full article on Tech in Asia

Technology Health