Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.

ABSTRACT:

Background

Kidney deficiency syndrome (KDS) is the predominant syndrome associated with gynecological reproductive system diseases in traditional Chinese medicine (TCM). However, the diagnostic method is influenced by the subjective experience of doctors, which leads to the ambiguity in differentiation of KDS and poor effect for corresponding treatment.

Objective

To explore an objective syndrome differentiation method for KDS in females of reproductive age through machine learning technique.

Methods

We proposed a new deep learning method for the objective differentiation of KDS in females of reproductive age. First, we simultaneously acquired 376 pairs of tongue and facial images. We divided them into a Kidney deficiency syndrome (KDS, n = 182) group and a Non-Kidney

SUBMITTER: Li K 

PROVIDER: S-EPMC12685927 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature