在肺部疾病中先进的成像技术和人工智能:叙述性综述
Guido Marchi1, Mattia Mercier2,3, Jacopo Cefalo4
1Pulmonology Unit, Cardiothoracic and Vascular Department, University Hospital of Pisa, Pisa, Italy (guido.marchi@ao-pisa.toscana.it.
概括
先进的成像和人工智能 (AI) 增强了肺部疾病的诊断,减少了侵入性手术. 需要进一步验证,但人工智能集成有望实现个性化治疗和改善患者的治疗结果.
科学领域:
- 肺部病理学 肺部病理学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 胸腔疾病每年影响超过35万名美国患者,构成了医疗保健方面的重大挑战.
- 目前的诊断方法通常依赖于侵入性手术,因为传统成像技术的局限性.
- 准确和及时的诊断对于有效管理腹腔疾病至关重要.
研究的目的:
- 审查肺部疾病成像技术的最新进展.
- 探索人工智能 (AI) 在诊断和管理肺部疾病中的应用.
- 突出新的方法,提高诊断准确性和减少侵入性.
主要方法:
- 非系统的,叙事文献评论.
- 专注于新型的超声波技术 (弹性成像,对比增强超声波).
- 检查了定量成像和人工智能算法来检测和表征腹腔异常.
主要成果:
- 新的超声波技术在区分恶性和良性膜病变方面表现有前途.
- 定量成像辅助在非侵入性区分输出类型.
- 人工智能算法在检测,表征和量化膜异常方面表现出很高的性能.
结论:
- 先进的成像和人工智能提供了更高的诊断准确度,减少了对多发性疾病的侵入性手术的需求.
- 这些技术的临床验证需要进行更大规模的前性研究.
- 人工智能与分子数据的整合可能使个性化疗法成为可能,从而彻底改变了胸腔疾病的管理.
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