智能病理诊断技术应用与展望

In recent years, the number of cancer patients and deaths in China has been increasing, making it the worlds leading "cancer capital". In clinical cancer diagnosis, pathological diagnosis is considered the "gold standard" and plays a crucial role in the diagnosis, treatment, and prognosis analysis of cancer. However, the current pathological diagnosis heavily relies on pathologists, leading to time-consuming, subjective, and misdiagnosis issues. With the rapid development of artificial intelligence and pathology, intelligent pathological diagnosis technology has emerged, providing an efficient, objective, and precise tool for pathological diagnosis. Although current research on intelligent pathological diagnosis is still in its infancy, it faces many challenges such as poor accuracy, interpretability, and generalization. To address these challenges, key technological breakthroughs in refinement, multimodality, interpretability, unified generalization, and large-scale models will effectively promote the application of intelligent pathological diagnosis in clinical settings. This can significantly prolong the patients survival period, improve their survival rate, and advance the construction of a healthy China.