在关节成像中使用人工智能
Ibrahim Sevki Bayrakdar1, Alican Kuran2, Ozer Celik3
1Department of Dentomaxillofacial Radiology, Eskisehir Osmangazi University, Eskisehir, Türkiye; Center of Research and Application for Computer-Aided Diagnosis and Treatment in Health (ESOGU-SABIT), Eskisehir Osmangazi University.
Neuroimaging clinics of North America
|October 29, 2025
概括
人工智能 (AI) 通过帮助临床医生和放射科医生解读复杂的关节图像来增强牙和口腔面部放射学. 人工智能工具在各种成像模式中提供了显著的诊断和治疗规划好处.
科学领域:
- 牙大和面部放射学 牙大和面部放射学
- 医学成像分析 医学成像分析
- 人工智能在医学中的应用
背景情况:
- 关节 (TMJ) 在牙口腔面部放射学中提出了复杂的解剖学挑战.
- 先进的成像技术经常需要准确的关节诊断和治疗计划.
- 人工智能 (AI) 正在成为医疗工作流程中的变革性技术.
研究的目的:
- 为提供AI工具开发的概述,用于TMJ解释在牙大和面部放射学.
- 讨论AI在分析TMJ成像中的成果和优势.
- 检查AI在这个领域提供的诊断和治疗规划好处.
主要方法:
- 对TMJ分析人工智能工具的当前研究和开发进行审查.
- 在不同成像模式 (例如,CBCT,MRI) 中评估AI性能.
- 分析人工智能对诊断准确性和治疗计划效率的影响.
主要成果:
- 人工智能工具在协助解释复杂的TMJ解剖学方面表现有前途.
- 人工智能在分析用于TMJ评估的各种成像模式方面表现出优势.
- 研究表明,人工智能有潜力提高诊断能力和简化治疗计划.
结论:
- 人工智能代表了牙和面部放射学的重大进步,特别是在TMJ评估方面.
- 人工智能工具为临床医生和放射科医生在诊断和治疗规划方面提供了巨大的好处.
- 预计人工智能的持续开发和整合将进一步提高TMJ护理.
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