The invention belongs to the technical field of
kidney aging assessment, and particularly relates to a
kidney aging
clock assessment method based on
kidney pathology and
artificial intelligence. According to the kidney aging evaluation method, the kidney aging degree can be evaluated more accurately by analyzing the
pathological characteristics related to kidney aging and calculating the correlation weight, the aging
clock score is generated, the kidney aging process is quantified, and the kidney aging evaluation accuracy is improved by monitoring the aging
clock score of the kidney in real time and optimizing the
evaluation period length according to the allowable deviation
score. The kidney
senescence state can be found in time, in the normal
senescence state, the
evaluation period can be adjusted in time, the kidney
senescence evaluation efficiency can be improved, in the abnormal senescence state, a corresponding response mechanism can be triggered, it is ensured that measures can be taken rapidly in the abnormal senescence state, and the kidney senescence evaluation efficiency is improved. Therefore, corresponding data support can be provided for
clinical diagnosis and treatment.