利用区块链和人工智能解决 Covid-19 问题

Suyogita Singh, S. Verma
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摘要

2020 年初,新型病毒 SARS-CoV-2 迅速蔓延。这种不受控制的传播导致了大流行,说明当时的医疗系统对公共卫生突发事件的反应速度缓慢。预计区块链技术在遏制 COVID-19 大流行的努力中至关重要。在这次审查中,发现了许多潜在的区块链应用;然而,其中大多数仍处于起步阶段,尚无法预测它们如何通过使用平台、访问类型和共识算法为抗击 COVID-19 做出贡献。区块链和人工智能(AI)等现代创新技术在限制病毒传播方面大有可为。区块链可以支持早期流行病识别,确保临床信息的有序性,并在疾病追踪过程中维护可信的医疗链,从而特别有助于抗击流行病。人工智能还提供了诊断冠状病毒疗法的智能形式,并支持药品的开发。该研究分析了用于流行病和大流行遏制的区块链和人工智能软件。首先,提出了一种新的概念性战略,通过融合人工智能与区块链的架构来应对 COVID-19。然后回顾了有关区块链和人工智能在遏制 COVID-19 中的益处的最新研究。会上还介绍了为应对冠状病毒大流行而开发的最新举措和用例。还提供了利用联合智能识别 COVID-19 的案例研究。最后,还提请注意在未来类似冠状病毒的大范围场景中需要进一步调查的问题和前瞻性方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resolving Covid-19 with Blockchain and AI
In the early months of 2020, a fast-spreading outbreak was brought about by the new virus SARS-CoV-2. The uncontrolled spread, which led to a pandemic, illustrated the healthcare system’s slow response time to public health emergencies at that time. Blockchain technology was anticipated to be crucial in the effort to contain the COVID-19 pandemic. In that review, many potential blockchain applications were discovered; however, the majority of them were still in their infancy, and it couldn’t yet be predicted how they could contribute to the fight against COVID-19 through the use of platforms, access kinds, and consensus algorithms. Modern innovations such as blockchain and artificial intelligence (AI) were shown to be promising in limiting the spread of a virus. Blockchain could specifically aid in the battle against pandemics by supporting early epidemic identification, assuring the ordering of clinical information, and maintaining a trustworthy medical chain during disease tracing. AI also offered smart forms of diagnosing coronavirus therapies and supported the development of pharmaceuticals. Blockchain and AI software for epidemic and pandemic containment were analyzed in that research. First, a new conceptual strategy was proposed to tackle COVID-19 through an architecture that fused AI with blockchain. State-of-the-art research on the benefits of blockchain and AI in COVID-19 containment was then reviewed. Recent initiatives and use cases developed to tackle the coronavirus pandemic were also presented. A case study using federated intelligence for COVID-19 identification was also provided. Finally, attention was drawn to problems and prospective directions for further investigation into future coronavirus-like wide-ranging scenarios.
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