
人工智能在肝再生评估及预测中的应用现状及前景
李汛, 宋晓静
人工智能在肝再生评估及预测中的应用现状及前景
Current Application Status and Prospects of Artificial Intelligence in Liver Regeneration Evaluation and Prediction
肝再生是肝脏维持正常生理功能及应对损伤的关键生物学过程,精准评估与预测肝再生状态对肝脏外科手术规划、肝病治疗策略制定及患者预后判断意义重大。本文系统评述人工智能(artificial intelligence, AI)在肝再生领域的应用现状,涵盖基于影像、临床数据及分子组学的评估手段,剖析当前面临的数据质量、算法可解释性等挑战,并展望多模态融合、实时动态监测及个性化医疗导向下 AI 的未来发展前景,为推动肝再生研究与临床实践革新提供参考。
Liver regeneration is a key biological process for the liver to maintain normal physiological function and respond to injury. Accurately evaluating and predicting the state of liver regeneration is of great significance for liver surgery planning, liver disease treatment strategy formulation, and patient prognosis judgment. This article provided a systematic review of the current application status of artificial intelligence (AI) in the field of liver regeneration, covering evaluation methods based on imaging, clinical data, and molecular genomics. It analyzed the challenges currently faced in terms of data quality and algorithm interpretability, and looked forward to the future development prospects of AI under the guidance of multimodal fusion, real-time dynamic monitoring, and personalized medicine, providing reference for promoting innovation in liver regeneration research and clinical practice.
Artificial intelligence / Liver regeneration / Evaluation / Prediction
R605 / R575
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