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人工智能在腹部和盆腔超声成像:当前的应用
Lie Cai1, André Pfob2,3
1Department of Obstetrics and Gynecology, Heidelberg University Hospital, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
Abdominal radiology (New York)
|November 2, 2024
概括
在腹部和盆腔超声波中,人工智能 (AI) 显示出对诊断和监测的前景. 然而,有限的前性验证和FDA清除需要谨慎,因为潜在的偏见.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 超声波技术 超声波技术 超声波技术
背景情况:
- 人工智能 (AI) 在医学成像中的整合为诊断提供了变革性的潜力.
- 本综述侧重于最先进的AI应用,特别是在腹部和盆腔超声波中.
研究的目的:
- 提供当前AI应用在腹部和骨盆超声波成像中的全面概述.
- 确定AI在这个领域的关键解剖和方法应用.
主要方法:
- 搜索了PubMed,FDA和ClinicalTrials.gov数据库的AI应用在腹部和盆腔超声波中.
- 在选128个已识别的标题后,包括57个手稿.
主要成果:
- 深度学习 (65%) 和机器学习 (23%) 主导了方法应用.
- 妇科 (26%) 和肝胆系统 (23%) 是重点的关键解剖学领域.
- 大多数研究是单一中心 (75%) 和回顾性 (98%),很少有FDA批准的用于腹部/盆腔的设备.
结论:
- 腹部/盆腔超声波中的AI显示了疾病诊断,监测和报告改进的有希望的结果.
- 由于有限的前性验证和FDA许可,存在偏差的高风险.
- 需要进一步的多中心前性研究来确定可靠性和安全性.
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