![Hong Kong research centre under China Academy of Sciences launches AI tool to assist in complex brain surgery procedures](https://www.naphjas.com/wp-content/uploads/2024/03/9de4ab13-a9f1-47ff-a303-5da53062ce94_7e3db9aa.jpg)
12 Mar Hong Kong research centre under China Academy of Sciences launches AI tool to assist in complex brain surgery procedures
The CARES Copilot 1.0 system has already undergone internal testing across a number of hospitals in Hong Kong and the mainland. It has been deployed in doctors’ workflow to help them “prepare surgical plans and for post-surgery management”, Liu said.
![Danny Chan Tat-ming, head of the neurosurgery division at the Department of Surgery in the Chinese University of Hong Kong, shows the capabilities of the CARES Copilot 1.0 artificial intelligence model at a press conference held in the Hong Kong Science Park on Monday. Photo: Jonathan Wong](https://cdn.i-scmp.com/sites/default/files/d8/images/canvas/2024/03/11/48156796-8993-4be7-8d75-0e2788426c06_2945c8d8.jpg)
CAIR’s Liu said their research team has “put extra effort into adapting Huawei’s system”. They were optimistic that training on a computing platform based on Huawei’s AI chips would “improve faster” in the long run, he said.
AI-powered brain surgery arrives in Hong Kong courtesy of state-run centre
AI-powered brain surgery arrives in Hong Kong courtesy of state-run centre
Still, Liu said there are currently limitations across the broader healthcare industry in terms of the number of specialised databases for brain surgery procedures. He added that such databases between different hospitals are usually not linked, too.
“In the AI industry, it is common knowledge that the bigger the database sets are the more powerful a model could be trained,” he said.
To overcome that limitation, Liu pointed out that their research team has fed CARES Copilot 1.0 with thousands of medical textbooks, academic papers and international neurosurgical guidelines.
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Chinese researchers aim to ‘reproduce’ OpenAI’s text-to-video model Sora
“Clinical decision-making is based on multiple information, such as CT scans, MRI, patients’ physiological testing results and more,” he said “So we want doctors to make better decisions through the combination of multiple sources of information.”
Founded in 2019, CAIR is the first CAS branch outside the mainland. It plays the role of a bridge to connect Hong Kong’s international talent and top academic research with the needs of well-established industries on the mainland, according to Liu.
Their research team is now approaching a number of medical device manufacturers to adapt CAIR’s AI innovation in their products.