Focusing on the application of artificial intelligence in the diagnosis and treatment of strabismus

Early diagnosis and appropriate intervention of strabismus are crucial for improving patient outcomes.Currently, strabismus screening and diagnosis rely on manual examination, which is challenged by limited human resources and the risk of misdiagnosis.Recently, artificial intelligence (AI) has made rapid progress in strabismus, covering screening, diagnosis, surgical parameter estimation and prognosis prediction.Deep learning models based on video, eye and fundus photographs show great potential.Despite significant achievements, AI studies often exclude complex strabismus types and rely on static, unimodal data, which limits practicality.Future integration of large model technology and multimodal data into intelligent diagnostic platforms will improve strabismus management and eye care, enabling personalized and precise treatment.

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