Balasubramaniam S, Arishma M, Satheesh Kumar K, Rajesh Kumar Dhanaraj
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引用次数: 0
摘要
简介：2019 年 COVID-19 大流行的爆发引发了一场前所未见的全球健康危机，需要精确的诊断解决方案。人工智能已成为 COVID-19 诊断的一项前景广阔的技术，可对医疗数据进行快速、可靠的分析。目标：本研究论文全面综述了应用于诊断的各种人工智能方法，旨在评估这些方法在识别病例、预测疾病进展以及与其他呼吸道疾病区分方面的有效性。方法：本研究涵盖了多种人工智能方法，以及在分析胸部 X 光片、CT 扫描、临床记录和基因组序列等不同数据源方面的应用。本文还探讨了实施基于人工智能的诊断工具所面临的挑战和局限性，包括数据可用性和伦理方面的考虑。结论：随着大流行病的发展，利用人工智能在医疗保健领域的潜力可以大大提高诊断效率，加强危机管理。
A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis
INTRODUCTION: The 2019 COVID-19 pandemic outbreak triggered a previously unseen global health crisis demanding accurate diagnostic solutions. Artificial Intelligence has emerged as a promising technology for COVID-19 diagnosis, offering rapid and reliable analysis of medical data.
OBJECTIVES: This research paper presents a comprehensive review of various artificial intelligence methods applied for the diagnosis, aiming to assess their effectiveness in identifying cases, predicting disease progression and differentiating from other respiratory diseases.
METHODS: The study covers a wide range of artificial intelligence methods and with application in analysing diverse data sources like chest x-rays, CT scans, clinical records and genomic sequences. The paper also explores the challenges and limitations in implementing AI -based diagnostic tools, including data availability and ethical considerations.
CONCLUSION: Leveraging AI’s potential in healthcare can significantly enhance diagnostic efficiency crisis management as the pandemic evolves.
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