血液系统疾病的复杂性决定了其诊断需要多学科的整合，而目前综合性诊断医生的匮乏严重制约了该学科的发展。将人工智能技术应用于传统的血液系统疾病诊断平台，为解决此困境开辟了新的思路，并将进一步推动血液病诊断模式的变革。

The complexity of hematological disorders requires multidisciplinary integration, and lack of well-trained hematopathologists restricts the development of this specialty. The rise of the artificial intelligence technology sheds light on this dilemma, provides a new approach to tackle this problem, and will promote the transformation of diagnostic mode of hematological disorders.