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随着人工智能时代的到来，影像组学作为一个新兴的领域，它从不同类型的影像学图像中提取高通量的成像数据，建立预测模型，从而以非侵入的方式指导临床治疗和改善疾病预后。虽然该领域目前尚处于发展初期，缺乏规范化的流程及评估标准，但仍然是非常有发展前途的研究方向。肝细胞癌的影像组学分析将有助于肿瘤的早期诊断、治疗方案的预后评估等，从而推进临床治疗策略的持续改进，提供精准化治疗以提高患者的生存率和治愈率。现介绍肝细胞癌的影像组学研究流程，并讨论其在肝细胞癌精准诊治中的应用进展、面临的挑战和未来的发展方向。“,”With the advent of the era of artificial intelligence, radiomics is an emerging field in which high-throughput imaging data are extracted from different types of images to model and predict clinical prognosis in a non-invasive manner. Currently, this field is in its initial stage of development and lacks standardized assessment criteria, but still remains a promising tool for the future research direction. Radiomics analysis of hepatocellular carcinoma will aid in the early diagnosis, prognostic evaluation and treatment plan, thereby promoting the continuous improvement of clinical treatment strategies, and providing precise treatment methods to improve the survival rate and cure rate of patients. This article introduces the radiomics research process of hepatocellular carcinoma, and discusses its application progress, challenges and future development directions in the precise diagnosis and treatment of hepatocellular carcinoma.