Abstract: With the improvement in the accuracy and portability of three-dimensional facial imaging devices, and the rapid development of medical image recognition technology in artificial intelligence, the analysis and automatic recognition of three-dimensional facial characteristics of diseases have been widely applied in multiple fields such as endocrine metabolic disorders, chronic respiratory diseases, neuromuscular diseases, genetic syndromes, and plastic surgery. We aim to systematically review and summarize the current research status and development trends of three-dimensional facial photogrammetry and image analysis techniques in disease diagnosis, assessment of prognosis and treatment efficacy, in order to provide references and insights for scientific research and clinical applications of this field.