A recent study reported the development and validation of the Liver Artificial Intelligence Diagnosis System (LiAIDS), a fully automated system that integrates deep learning for the diagnosis of liver lesions on the basis of contrast-enhanced CT scans and clinical information. This tool improved diagnostic precision, surpassed the accuracy of junior radiologists (and equalled that of senior radiologists) and streamlined patient triage. These advances underscore the potential of artificial intelligence to enhance hepatology care, although challenges to widespread clinical implementation remain.

中文翻译：

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使用基于深度学习的系统提高肝脏病变分析的诊断精度：机遇与挑战


最近的一项研究报告了肝脏人工智能诊断系统（LiAIDS）的开发和验证，这是一个全自动系统，集成了深度学习，基于对比增强 CT 扫描和临床信息来诊断肝脏病变。该工具提高了诊断精度，超越了初级放射科医生（并与高级放射科医生相当）的准确性，并简化了患者分类。这些进展凸显了人工智能在增强肝病护理方面的潜力，尽管广泛临床实施的挑战仍然存在。