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Multi-modal large model artificial intelligence surgery navigation system based on edge ai and aigc

ActiveCN117481814BRealize digital dissemination of medical technologyAlleviate resource scarcityAlgorithmEngineering
The present application relates to the field of artificial intelligence, and discloses a multi-modal large model artificial intelligence operation navigation system based on EdgeAI and AIGC, comprising the following steps: S1, multi-modal data fusion and decomposition processing. Collecting massive intraoperative images, multi-classifying according to the operation completion quality, and adding each modal data to form a unified formatted multi-modal intraoperative image database; S2, training the big data using the ONE-PEACE-SZYYv3 large model algorithm based on AIGC to realize the generation and suggestion of the key elements in the operation by the large model; S3, using the pruning distillation technology, deploying the large model for edge computing, and realizing the real-time guidance of the doctor to complete the operation quickly, safely and accurately in the offline network disconnected island environment. The present application can realize the real-time processing and analysis of the multi-modal data in the operation in the offline network disconnected edge computing environment. Finally, it helps the surgeon to complete each operation efficiently and accurately, so that each ordinary operation patient can obtain ideal treatment service.
Owner:SUZHOU SHUZHI YUANYU ARTIFICIAL INTELLIGENCE TECH CO LTD