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人工智能在检测禽流感病毒爆发中的作用:一篇综述

Majid Shafi¹, Shabia Shabir², Sami Jan³

¹Faculty of Veterinary Sciences and Animal Husbandry, SKUAST-K, Srinagar, India.

Open veterinary journal

|June 25, 2025

概括

人工智能 (AI) 通过机器学习和人工智能驱动的成像来增强禽流感诊断. 这项技术改善了早期检测,疫情预测和疾病管理,保护家禽和公共健康.

科学领域:

兽医医学兽医医学兽医医学
公共卫生公共卫生
数据科学数据科学数据科学

背景情况:

禽流感对全球家禽生产和人类健康构成重大威胁.
传统的诊断方法往往缺乏及时干预的速度和预测能力.
需要先进,快速和准确的诊断工具是关键的.

研究的目的:

探索人工智能 (AI) 在彻底改变禽流感诊断中的作用.
突出AI在早期疾病预测,诊断和疫情管理方面的能力.
讨论人工智能与大数据分析的整合,以加强疾病监测.

主要方法:

机器学习模型用于早期疾病预测.
人工智能驱动的成像用于准确诊断禽流感.
人工智能增强分子诊断和生物传感器,提高灵敏度和特异性.
大数据分析用于实时监测和疫情预测.

主要成果:

人工智能显著提高了禽流感检测的速度和准确性.
人工智能提高了家禽疾病诊断的敏感性和特异性.
人工智能驱动的大数据分析能够实时监测和改进疫情预测.
人工智能模型有助于预测从动物传播到人类的动物传播疾病.

结论:

人工智能集成为管理禽流感提供了一个主动的,基于数据的方法.
人工智能增强了对家禽疾病的早期检测,风险评估和控制策略.
解决数据偏见和道德问题等挑战对于负责任的AI部署至关重要.
人工智能已经准备好改变禽流感管理,保护动物和公共健康.

关键词:

人工智能的人工智能是人工智能.禽流感是禽流感的一种.生物传感器是一种生物传感器.诊断诊断诊断诊断诊断早期检测早期检测监督监督监督监督监督监督监督监督监督监督监督监督动物传播的传播是动物传播的.

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