对人工智能在肺部疾病管理中的应用进行系统审查
Akbar Hussain1, Stanley Marlowe1, Muhammad Ali2
1Internal Medicine, Appalachian Regional Healthcare, Harlan, USA.
Cureus
|February 5, 2024
概括
人工智能 (AI) 通过提高诊断准确性和疾病预测,显著增强肺部疾病管理. 这篇评论强调了人工智能.
科学领域:
- 肺病学和医学成像学
- 医疗保健中的人工智能
- 计算生物学 计算生物学
背景情况:
- 肺部疾病对全球健康造成重大负担.
- 肺部疾病的传统诊断方法有其局限性.
- 人工智能的进步为疾病管理提供了新的途径.
研究的目的:
- 系统地审查人工智能 (AI) 对肺部疾病管理的影响.
- 分析AI在放射性成像,预测,诊断和肺部疾病分子理解方面的应用.
- 综合人工智能在治疗结核病,COPD,病,肺结核病和肺纤维化中的作用的关键发现.
主要方法:
- 对2014年至2023年间发表的科学文章进行系统审查.
- 分析重点是人工智能在肺部疾病诊断,成像和预测方面的应用.
- 从精选的研究中对AI在特定肺部疾病中的作用的综合见解.
主要成果:
- 人工智能在肺部疾病的诊断准确度方面取得了显著的改进.
- 人工智能有效地帮助解释肺部疾病的放射图像.
- 人工智能有助于预测疾病负担和了解结核病和COPD等疾病中的分子机制.
结论:
- 人工智能是治疗肺部疾病的变革性工具.
- 人工智能为医疗保健工作者,政策制定者和肺病学研究人员提供了巨大的好处.
- 利用人工智能对于推进肺部疾病的理解和治疗至关重要.
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