Artificial intelligence in the current management and prediction of diabetes mellites
Pages 361 - 365
Abstract
Artificial intelligence (AI) is able to draw complex conclusions from a lot of data. In 2023, Deep learning (DL) and machine learning (ML) can primarily enable the AI boom. These innovations have evolved significantly as result of the expansion of computing power and the sharp increase in computer performance. We introduce diabetes prediction models and AI/ML-based medical devices in this paper. Several AI-based healthcare devices for clinical judgement support, patient self-management tools and automated retinal screening have already received approval from the United States Food and Drug Administration (FDA). Currently, ML tools are no better at predicting diabetes that was newly diagnosed compared to traditional risk classification algorithms which depend on methods of statistical analysis. Despite the present state of affairs, it is anticipated that huge quantities of arranged data and an abundance of computing power will soon maximize the predictive performance of AI, leading to a noticeably higher level of accuracy for models that predict diabetes illness.
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Published In
August 2023
783 pages
ISBN:9798400700224
DOI:10.1145/3607947
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 28 September 2023
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IC3 2023
IC3 2023: 2023 Fifteenth International Conference on Contemporary Computing
August 3 - 5, 2023
Noida, India
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