人工智能在传染病早期诊断和治疗中的作用。

Infectious diseases (London, England) Pub Date : 2025-01-01 Epub Date: 2024-11-14 DOI:10.1080/23744235.2024.2425712
Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani, Keven Robinson, Aijaz Ahmad
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引用次数: 0

摘要

传染病仍然是一个全球性的健康挑战,需要采用创新的方法对其进行早期诊断和有效治疗。人工智能(AI)已成为医疗保健领域的变革力量,为应对这一挑战提供了前景广阔的解决方案。这篇综述文章全面概述了人工智能在传染病早期诊断和治疗中可以发挥的关键作用。文章探讨了人工智能驱动的诊断工具,包括机器学习算法、深度学习和图像识别系统,如何提高疾病检测和监控的准确性和效率。此外,它还深入探讨了人工智能在预测疾病爆发、优化治疗策略、根据患者个人数据进行个性化干预方面的潜力,以及如何利用人工智能加快药物发现和开发(D3)进程。通过利用人工智能的能力,医疗保健系统可以在与传染病的斗争中大大提高其准备能力、反应能力和成果。
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Role of artificial intelligence in early diagnosis and treatment of infectious diseases.

Infectious diseases remain a global health challenge, necessitating innovative approaches for their early diagnosis and effective treatment. Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering promising solutions to address this challenge. This review article provides a comprehensive overview of the pivotal role AI can play in the early diagnosis and treatment of infectious diseases. It explores how AI-driven diagnostic tools, including machine learning algorithms, deep learning, and image recognition systems, enhance the accuracy and efficiency of disease detection and surveillance. Furthermore, it delves into the potential of AI to predict disease outbreaks, optimise treatment strategies, and personalise interventions based on individual patient data and how AI can be used to gear up the drug discovery and development (D3) process.The ethical considerations, challenges, and limitations associated with the integration of AI in infectious disease management are also examined. By harnessing the capabilities of AI, healthcare systems can significantly improve their preparedness, responsiveness, and outcomes in the battle against infectious diseases.

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