The Taiwan Artificial Intelligence Laboratory has joined hands with Taiwan's Qi Medical to create the world's first AI model for the analysis of brain metastases made in Taiwan.

On the left is Du Yijin, the founder of Taiwan Artificial Intelligence Laboratory, and on the right is Huang Shizhen, the vice president of GE Medical Greater China.

(courtesy of AI Labs)

[Reporter Ou Yuxiang/Taipei Report] Taiwan AI Labs announced today that it has formed an alliance with Taiwan’s GE Healthcare to introduce DeepMets, an AI image-assisted analysis system for brain metastases, into the MRI imaging system. Clinical application, assisting doctors to speed up the diagnosis and treatment process. This cooperation is a strong combination of medical equipment software and hardware, plus AI technology. The short-term goal is to promote domestic hospitals, and the future is expected to promote the results to the international market.

The artificial intelligence laboratory explained that Taiwan's Singularity Medical has a leading position in the domestic MRI equipment market. This time, the artificial intelligence laboratory and Taipei Veterans General Hospital jointly developed the magnetic resonance medical imaging AI medical material DeepMets as the core, and then combined the AI ​​model with Singularity The connection of medical MRI systems will provide more complete medical solutions.

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Du Yijin, founder of Taiwan Artificial Intelligence Laboratory, said that DeepMets already has many international partners and has been looking forward to more and wider clinical applications in China. The cooperation with Qiqi Medical is the best opportunity to combine AI models with MRI systems The results brought into Taiwan's medical field.

Qi Medical pointed out that Taiwan’s sound medical system has accumulated a large amount of data, which can provide rich resources for smart medical care. The artificial intelligence laboratory has AI technology, and the federated learning it advocates can also be used without taking the data out of the hospital. Using more than 3,000 images from 23 medical centers to train the AI ​​model not only improves the accuracy of the AI ​​model, but also ensures the security of medical data.

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