Innovative applications of artificial intelligence in zoonotic disease management

Science in One Health Pub Date : 2023-01-01 DOI:10.1016/j.soh.2023.100045

Wenqiang Guo , Chenrui Lv , Meng Guo , Qiwei Zhao , Xinyi Yin , Li Zhang

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Abstract

Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global public health. In recent years, artificial intelligence (AI) has emerged as a transformative tool in the fight against diseases. This comprehensive review discusses the innovative applications of AI in the management of zoonotic diseases, including disease prediction, early diagnosis, drug development, and future prospects. AI-driven predictive models leverage extensive datasets to predict disease outbreaks and transmission patterns, thereby facilitating proactive public health responses. Early diagnosis benefits from AI-powered diagnostic tools that expedite pathogen identification and containment. Furthermore, AI technologies have accelerated drug discovery by identifying potential drug targets and optimizing candidate drugs. This review addresses these advancements, while also examining the promising future of AI in zoonotic disease control. We emphasize the pivotal role of AI in revolutionizing our approach to managing zoonotic diseases and highlight its potential to safeguard the health of both humans and animals on a global scale.

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人工智能在人畜共患疾病管理中的创新应用

人畜共患疾病在人与动物之间传播，对全球公共卫生构成重大威胁。近年来，人工智能(AI)已成为对抗疾病的变革性工具。本文综述了人工智能在人畜共患疾病管理中的创新应用，包括疾病预测、早期诊断、药物开发和未来展望。人工智能驱动的预测模型利用广泛的数据集来预测疾病暴发和传播模式，从而促进积极主动的公共卫生应对。早期诊断受益于人工智能驱动的诊断工具，可以加快病原体的识别和控制。此外，人工智能技术通过识别潜在的药物靶点和优化候选药物，加速了药物的发现。本文综述了这些进展，同时也探讨了人工智能在人畜共患疾病控制方面的前景。我们强调人工智能在彻底改变人畜共患疾病管理方法方面的关键作用，并强调其在全球范围内保障人类和动物健康的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Science in One Health

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