Abstract
Big Data in medicine contains conceivably fast processing of large data volumes, alike new and old in perseverance associate the diagnosis and treatment of patients' diseases. Backing systems for that kind activities may include pre-programmed rules based on data obtained from the medical interview, and automatic analysis of test diagnostic results will lead to classification of observations to a specific disease entity. The current revolution using Big Data significantly expands the role of computer science in achieving these goals, which is why we propose a computer data processing system using artificial intelligence to analyse and process medical images. We conducted research that confirms the need to use GPUs in Big Data systems that process medical images. The use of this type of processor increases system performance.
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Bobulski, J., & Kubanek, M. (2020). Big data system for medical images analysis. In Frontiers in Artificial Intelligence and Applications (Vol. 332, pp. 71–79). IOS Press BV. https://doi.org/10.3233/FAIA200768
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