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Biomedical Computation Artificial Intelligence Challenges in Cloud Environments

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  • Philippe Funk

    (SMC Business School, Malta)

Abstract

Biomedical computation poses unique challenges for artificial intelligence in cloud environments. With the vast amounts of medical data generated and collected every day, there is a growing need for powerful computational tools that can efficiently manage, analyze and interpret these data. However, the development of suitable AI algorithms and software solutions requires addressing several challenges, such as data privacy and security, interoperability of diverse healthcare systems, and optimization of cloudbased computing resources. In this abstract, we highlight some of the key challenges and opportunities in building robust and reliable AI systems for biomedical computation in cloud environments, and discuss promising solutions that could accelerate progress in this rapidly evolving field.

Suggested Citation

  • Philippe Funk, 2023. "Biomedical Computation Artificial Intelligence Challenges in Cloud Environments," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 50(4), pages 41813-41816, May.
    • Handle: RePEc:abf:journl:v:50:y:2023:i:4:p:41813-41816
    DOI: 10.26717/BJSTR.2023.50.007977
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