Zhang Kang's research group is listed on the cover of "Cell", which can accurately diagnose the birth of AI for eye diseases and pneumonia.

张康课题组研究荣登《细胞》封面,可精准诊断眼病和肺炎的AI诞生

On the 26th, the Guangzhou Women and Children Medical Center and the University of California, San Diego, led by Professor of Ophthalmology at the University of California, San Diego (UCSD), and Professor Zhang Kang, Chief Physician of Ophthalmology, published an artificial intelligence in the top journal Cell. AI) The heavy research results in the medical field: Based on deep learning, we developed an AI system that can diagnose diseases such as eye diseases and pneumonia.

This is the first time that the Chinese research team has published research results on medical artificial intelligence in the top biomedical journals. It is also the first time in the world to achieve accurate recommendations for treatment with AI.

"Cell" published this AI study from China in the form of a cover article.

In ophthalmic treatment, retinal OCT (optical coherence tomography) imaging technology is one of the most commonly used diagnostic techniques. By taking high-resolution images of retinal tissue, doctors can accurately diagnose eye diseases, and AI technology has great advantages in big data and computing speed. It can bring together global cases into a huge database, just a few milliseconds. Time can retrieve and retrieve key data. Therefore, if AI technology is used to identify and process these OCT images, diagnostic efficiency and even diagnostic accuracy will be greatly improved.

张康课题组研究荣登《细胞》封面,可精准诊断眼病和肺炎的AI诞生

Zhang Kang's group obtained more than 200,000 OCT images, applied a multi-level feedforward DNN concept, and implanted the pre-trained model Inception-v3 architecture into the open source machine learning platform TensorFlow, inputting a total of about 100,000 accurately labeled OCTs. Image, and finally developed an AI system that can accurately diagnose eye diseases.

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