Deep learning enables artificial intelligence to analyze 3D medical images ultrafast

The application of artificial intelligence in the medical field is not uncommon. It has its unique value in medical imaging.

It is understood that cutting-edge artificial intelligence can be used for 3D medical imaging, making rapid and accurate medical diagnosis of nervous system diseases and retinal diseases.

Artificial intelligence can identify two-dimensional medical images, but it is not ideal for three-dimensional medical image analysis. There is no mistake in medical analysis and diagnosis. Experts in this field are committed to the application of deep learning in artificial intelligence. It is hoped that artificial intelligence can analyze 3D medical images to serve patients.

At present, this technology has successfully implemented the ultra-fast analysis of deep learning algorithms applied to 3D medical images.

It is reported that Google's artificial intelligence subsidiary, "Deep Thinking", developed a deep learning architecture for analyzing retinal optical coherence tomography (OCT) scans and diagnosing retinal diseases with an accuracy rate of 95%. And actively put into practical applications.

Artificial intelligence + medical care will better serve patients and improve medical efficiency.

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