Biomedical Computation Artificial Intelligence Challenges in Cloud Environments

Philippe Funk
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Philippe Funk: SMC Business School, Malta

Biomedical Journal of Scientific & Technical Research, 2023, vol. 50, issue 4, 41813-41816

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:50:y:2023:i:4:p:41813-41816

DOI: 10.26717/BJSTR.2023.50.007977

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