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• W4206599801 abstract "Augmented reality is currently of interest in biomedical health informatics. At the same time, several challenges have appeared, in particular with the rapid progress of smart sensor technologies, and medical artificial intelligence. This yields the necessity of new needs in biomedical health informatics. Collaborative learning and privacy are just some of the challenges of augmented reality technology in biomedical health informatics. This paper introduces a novel secure collaborative augmented reality framework for biomedical health informatics-based applications. Distributed deep learning is performed across a multi-agent system platform. The privacy strategy is then developed for ensuring better communications of the different intelligent agents in the system. In this research work, a system of multiple agents is created for the simulation of the collective behaviours of the smart components of biomedical health informatics. Augmented reality is also incorporated for better visualization of medical patterns. A novel privacy strategy based on blockchain is investigated for ensuring the confidentiality of the learning process. Experiments are conducted on real use cases of the biomedical segmentation process. Our strong experimental analysis reveals the strength of the proposed framework when directly compared to state-of-the-art biomedical health informatics solutions." @default.
• W4206599801 created "2022-01-25" @default.
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• W4206599801 date "2022-06-01" @default.
• W4206599801 modified "2023-10-16" @default.
• W4206599801 title "Secure Collaborative Augmented Reality Framework for Biomedical Informatics" @default.
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• W4206599801 doi "https://doi.org/10.1109/jbhi.2021.3139575" @default.
• W4206599801 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34971546" @default.
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