Department of Radiology, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA.
Department of Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1475, Houston, TX 77030, USA.
Radiol Clin North Am. 2022 Mar;60(2):339-358. doi: 10.1016/j.rcl.2021.11.011.
AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, and doses of radiation and contrast. AI can improve radiologist workflow and decrease interpretation times. AI may someday be capable of accurately locating, classifying and segmenting bone and soft tissue tumors. The goal of radiomics is to use radiomic and other biomarkers to achieve "precision medicine", ie, to predict the right diagnosis and the right treatment of the right patient at the right time. Radiomic information may be helpful in guiding biopsies, classifying and grading tumors and predicting prognosis and treatment response.
人工智能可以提高 CT、MR 和 PET/CT 图像的质量，同时减少成像时间、辐射和造影剂剂量。人工智能可以改善放射科医生的工作流程，减少解释时间。人工智能有朝一日可能能够准确地定位、分类和分割骨和软组织肿瘤。放射组学的目标是使用放射组学和其他生物标志物来实现“精准医疗”，即准确诊断、准确治疗、准确患者、准确时间。放射组学信息可能有助于指导活检、分类和分级肿瘤以及预测预后和治疗反应。
