Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA; Neuroradiology, Radiology Department, University of Illinois.
Neuroradiology, Radiology Department, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
Semin Ultrasound CT MR. 2022 Apr;43(2):170-175. doi: 10.1053/j.sult.2022.02.006. Epub 2022 Feb 11.
Artificial intelligence (AI) can be applied to head and neck imaging to augment image quality and various clinical tasks including segmentation of tumor volumes, tumor characterization, tumor prognostication and treatment response, and prediction of metastatic lymph node disease. Head and neck oncology care is well positioned for the application of AI since treatment is guided by a wealth of information derived from CT, MRI, and PET imaging data. AI-based methods can integrate complex imaging, histologic, molecular, and clinical data to model tumor biology and behavior, and potentially identify associations, far beyond what conventional qualitative imaging can provide alone.
人工智能（AI）可应用于头颈部成像，以提高图像质量和各种临床任务的准确性，包括肿瘤体积的分割、肿瘤特征分析、肿瘤预后和治疗反应的预测以及转移性淋巴结疾病的预测。由于头颈部肿瘤的治疗需要依据从 CT、MRI 和 PET 成像数据中提取的大量信息，因此 AI 的应用具有良好的应用前景。基于 AI 的方法可以整合复杂的成像、组织学、分子和临床数据，以模拟肿瘤生物学和行为，并有可能发现传统定性成像无法单独提供的关联。
