This paper summarized Professor PENG Peichu's experience in the differentiation and treatment of prostate cancer in three phases and four stages. It is considered that prostatic cancer is categorized into root deficiency and branch excess， with depletion of healthy qi as the root， and the accumulation of cancer toxin as the minifestation. Clinical diagnosis and treatment of prostatic cancer can be divided into three phases and four stages according to the exuberance and decline of pathogenic and healthy qi and the changes of deficiency and excess of yin and yang. In the initial accumulation phase of cancer toxin （yang excess stage）， the key pathogenesis is the accumulation of dampness， heat and static blood， and internal generation of cancer toxin， and the treatment should be resolving toxins， fighting cancer and dispelling yang excess. In the phase of healthy qi deficiency and toxin accumulation （yin deficiency stage）， with the lung and kidney yin deficiency， dampness， heat and static toxin accumulation as the key pathogenesis， the treatment should be centered on mutual generation between metal and water to nourish kidney yin， supplemented with the method of clearing heat and draining dampness， activating blood and resolving toxins， for which self-made Nanbei Formula（南北方）is usually used. In the phase of yang deficiency and cold stagnation （yang deficiency stage and yin excess stage）， with the spleen and kidney yang deficiency， cold dampness stagnation， static heat and toxin accumulation as the key pathogenesis， the treatment should be warming and tonifying spleen and kidney to dissipate cold accumulation； for deficiency of both yin and yang， and excess pathogen obstruction， modified Yanghe Decoction（阳和汤） is recommended， while for yang deficiency， cold congealing and blood stasis， self-made Wenshen Sanjie Formula（温肾散结方） can be used， and for cold dampness binding with cancer toxin， and cold complex with heat， self-made Quanan Formula （泉安方） is advised.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.