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超声波指导手术和人工智能在肌肉骨疾病中的应用方面的进展
Soichi Hattori1, Rachit Saggar1, Eva Heidinger1
1Foot and Ankle Injury Research (FAIR), Division of Foot and Ankle, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15219, USA.
Diagnostics (Basel, Switzerland)
|September 28, 2024
概括
人工智能 (AI) 和深度学习 (DL) 通过克服操作员依赖并提高诊断准确性来增强肌肉骨超声成像. 这些技术正在彻底改变超声波指导手术,以改善患者的治疗结果.
科学领域:
- 肌肉骨医学 肌肉骨医学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 超声波在肌肉骨医学中至关重要,在微创手术中越来越多地使用.
- 目前超声波的局限性包括操作员的依赖性和图像质量问题.
- 人工智能 (AI) 和深度学习 (DL) 为增强超声波能力提供了解决方案.
研究的目的:
- 审查肌肉骨超声波AI/DL应用的最新进展.
- 探索AI/DL在改进超声波指导手术程序方面的潜力.
- 总结AI/DL在肌肉骨医学和外科手术中的整合.
主要方法:
- 关于AI/DL在肌肉骨超声波中的最新文献的综述.
- 分析AI/DL技术,如细分,检测和定位.
- 专注于体育,足,手术和骨关节炎中的应用.
主要成果:
- AI/DL可以改善部发育不良和骨髓炎剖析的查.
- AI/DL提高了手掌道综合征的诊断准确度.
- AI/DL有助于对膝关节骨关节炎的预后预测,并改善了手术指导.
结论:
- AI/DL显著提高了肌肉骨超声波的诊断和手术实用性.
- 人工智能/DL集成有望实现更准确,更有效的超声波导向肌肉骨手术.
- 该审查强调了AI/DL在肌肉骨医学中的变革潜力.
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