人工智能:创造非传染性疾病管理的新范式
S Chakraborty1, A Khandelwal2, R Agarwalla1
11Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Guwahati, Assam, India.
Georgian medical news
|January 18, 2024
概括
人工智能 (AI) 可以通过预测,监测和治疗支持,显著减少非传染性疾病 (NCD) 的负担. 负责任的AI实施至关重要,特别是在面临医疗保健挑战的低收入和中等收入国家.
科学领域:
- 医学科学 医学科学 医学科学
- 医疗信息学 医疗信息学
- 人工智能应用程序 人工智能应用程序
背景情况:
- 非传染性疾病 (NCD) 构成了全球健康的重大负担.
- 现有的医疗保健系统在管理慢性疾病方面面临挑战,特别是在资源有限的环境中.
研究的目的:
- 探索人工智能 (AI) 在应对非传染性疾病挑战方面的潜力.
- 突出AI在非传染性疾病的预防和治疗医疗保健中的作用.
主要方法:
- 在疾病预测,患者监测和治疗后续对AI能力的审查.
- 分析AI在低收入和中等收入国家对慢性疾病管理的适用性.
主要成果:
- 人工智能在预测疾病发生和监测患者健康方面显示出潜力.
- 人工智能可以支持治疗坚持和随访,改善患者的治疗结果.
- 人工智能为医疗保健挑战提供解决方案,例如人力资源短缺和可访问性.
结论:
- 人工智能为减轻非传染性疾病的影响提供了一个有希望的途径.
- 对人工智能的负责任和理性部署对于最大限度地提高其在NCD管理中的好处至关重要.
- 人工智能可以增强慢性疾病的医疗保健服务,特别是在服务不足的地区.
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