影像人工智能评估创伤性脑损伤的研究进展

Advances in artificial intelligence based imaging in traumatic brain injury

影像学检查对创伤性脑损伤(TBI)的诊断及治疗非常重要,可以识别脑损伤类型、评估损伤程度。临床中常用CT和MRI对TBI进行诊断和评估。近年影像人工智能(AI)逐渐用于TBI的临床诊疗流程,包括识别颅脑的解剖结构、提取影像特征、分割量化损伤范围、判断预后、辅助决策等。就AI结合影像学在TBI病人综合诊疗中的应用进展予以综述。

Radiology plays a pivotal role in the diagnosis and treatment of traumatic brain injury(TBI),enabling the identification of brain injury types and assessment of injury severity.In clinical practice,CT and MRI are routinely used for diagnosing and evaluating TBI.In recent years,artificial intelligence(AI)has gradually been integrated into imaging for the clinical management of TBI,including the identification cranial anatomical structures,extraction of imaging features,segmentation and quantification of injury areas,prognosis assessment,and decision-making support.This article reviews the progress of AI algorithms and their clinical applications in TBI patients.