人工智能 (AI) 在护理点测试中的应用
Tahir S Pillay1, Adil I Khan2, Sedef Yenice3
1Department of Chemical Pathology, Faculty of Health Sciences and National Health Laboratory Service, Tshwane Academic Division, University of Pretoria, Pretoria, South Africa; Division of Chemical Pathology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
概括
人工智能 (AI) 通过提高诊断准确性和效率来增强临床检测 (POCT). 人工智能整合解决了医疗保健方面的挑战,旨在实现全球公平获取和个性化医疗.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医学诊断 医学诊断 医学诊断
- 人工智能的人工智能是人工智能.
背景情况:
- 临床检测 (POCT) 提供快速诊断,但在准确性,整合性和资源限制方面面临挑战.
- 人工智能 (AI) 技术,包括机器学习和深度学习,为这些POCT限制提供了解决方案.
研究的目的:
- 探索AI整合在POCT中的变革性影响.
- 突出AI在提高诊断准确性,工作流程效率和医疗保健中的可访问性方面的作用.
- 解决挑战,并概述人工智能增强的POCT的未来方向.
主要方法:
- 对POCT中人工智能应用的审查,包括用于疾病检测的机器学习 (例如疟疾) 和用于设备管理的预测分析.
- 对抗微生物药物管理的AI驱动决策支持系统和用于贫血查的便携式AI设备的分析.
- 检查新兴的人工智能趋势,如可解释的人工智能,区块链和AI-IoT融合,用于预测性诊断和个性化医疗.
主要成果:
- 人工智能将疟疾检测灵敏度提高到95%,并将设备停机时间减少20%.
- 人工智能系统可以减少40%的抗生素滥用,并以94%的准确率快速查贫血.
- 人工智能-物联网系统提前14天预测疾病爆发,人工智能集成到个性化医疗中可以减少25%的心血管事件.
结论:
- 人工智能增强的POCT显著提高了诊断能力,效率和可访问性,特别是在资源有限的环境中.
- 通过可解释的人工智能和区块链解决数据隐私和算法不透明等挑战,对于信任和合规至关重要.
- 人工智能与物联网和区块链的融合有望带来积极主动,个性化和公平的医疗保健,推动全球健康公平.
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