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Infection detection revolution: Harnessing AI-powered image analysis to combat infectious diseases

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  • Muhammad Ahsan
  • Robertas Damaševičius

Abstract

Infectious diseases wield significant influence on global mortality rates, largely due to the challenge of gauging their severity owing to diverse symptomatology. Each nation grapples with its unique obstacles in combatting these diseases. This study delves into three distinct decision-making methodologies for medical diagnostics employing Neutrosophic Hypersoft Set (NHSS) and Plithogenic Hypersoft Set (PHSS), extensions of the Hypersoft set. It introduces state-of-the-art AI-driven techniques to enhance the precision of medical diagnostics through the analysis of medical imagery. By transforming these images into the aforementioned sets, the analysis becomes more refined, facilitating more accurate diagnoses. The study advocates various courses of action, including isolation, home or specialized center quarantine, or hospitalization for further treatment. The novelty in this study utilizes cutting-edge AI methods to enhance medical imaging, transforming them into accurate diagnostic tools, marking a significant change in how infectious diseases are addressed. By combining machine learning and pattern recognition, it offers the potential to overhaul healthcare worldwide, facilitating accurate diagnoses and customized treatment plans, ultimately reducing the global burden of infectious diseases on mortality rates.

Suggested Citation

  • Muhammad Ahsan & Robertas Damaševičius, 2024. "Infection detection revolution: Harnessing AI-powered image analysis to combat infectious diseases," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-22, October.
    • Handle: RePEc:plo:pone00:0307437
    DOI: 10.1371/journal.pone.0307437
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    References listed on IDEAS

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    1. N. Nagaraja Kumar & T. Jayachandra Prasad & K. Satya Prasad, 2023. "Multimodal Medical Image Fusion with Improved Multi-Objective Meta-Heuristic Algorithm with Fuzzy Entropy," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-33, February.
    2. Sagvan Y. Musa & Baravan A. Asaad, 2021. "Bipolar Hypersoft Sets," Mathematics, MDPI, vol. 9(15), pages 1-15, August.
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