革命性肺部诊断:在肺部成像中对人工智能应用的叙述性审查
Arman Sindhu1, Ulhas Jadhav1, Babaji Ghewade1
1Respiratory Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Cureus
|May 6, 2024
概括
人工智能 (AI) 正在通过改进肺部成像分析来实现早期检测和预后,从而彻底改变肺部诊断. 这项技术提高了诊断肺部疾病的准确性和效率.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 肺部病理学 肺部病理学
背景情况:
- 传统的肺部诊断依赖于肺部成像,这对于早期疾病检测和干预至关重要.
- 精确高效的肺部成像对于改善呼吸系统医学患者的治疗结果至关重要.
研究的目的:
- 审查人工智能 (AI) 对肺部诊断和肺部成像的影响.
- 探索人工智能在检测异常,诊断肺部疾病和预测疾病预后方面的应用.
- 讨论人工智能的整合到临床工作流程和未来的研究方向.
主要方法:
- 审查机器学习算法,深度学习技术和用于分析放射学报告的自然语言处理.
- 对实例研究的分析,证明了AI在肺部诊断中的应用.
- 检查人工智能采用的挑战和经验教训.
主要成果:
- 人工智能显著提高了肺成像分析的准确性和效率.
- 人工智能应用在肺部疾病的早期检测,诊断和预后方面表现有前途.
- 成功的案例研究强调了人工智能在临床环境中的实际好处.
结论:
- 人工智能对肺部医疗保健具有变革性的潜力,提高了准确性,效率和可访问性.
- 将人工智能整合到临床工作流程中需要解决伦理问题并促进合作.
- 进一步的研究对于充分实现AI在肺部诊断方面的能力至关重要.
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