Guo Wenqiang, Lv Chenrui, Guo Meng, Zhao Qiwei, Yin Xinyi, Zhang Li
Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China.
Sci One Health. 2023 Nov 3;2:100045. doi: 10.1016/j.soh.2023.100045. eCollection 2023.
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.
人畜共患疾病在人类和动物之间传播，对全球公共卫生构成重大威胁。近年来，人工智能（AI）已成为抗击疾病的变革性工具。这篇全面综述讨论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、药物开发及未来前景。人工智能驱动的预测模型利用大量数据集来预测疾病爆发和传播模式，从而促进积极的公共卫生应对措施。早期诊断受益于人工智能驱动的诊断工具，这些工具加快了病原体识别和控制。此外，人工智能技术通过识别潜在药物靶点和优化候选药物加速了药物发现。本综述阐述了这些进展，同时也探讨了人工智能在人畜共患疾病控制方面充满希望的未来。我们强调人工智能在彻底改变我们管理人畜共患疾病的方法方面的关键作用，并突出其在全球范围内保障人类和动物健康的潜力。
