Abstract: Myasthenia gravis(MG)is an autoimmune disorder mediated by autoantibodies that primarily affect the postsynaptic membrane of the neuromuscular junction,with the core clinical features being fluctuating weakness and easy fatigability of skeletal muscles.Among these,fluctuating ptosis and diplopia often present as the initial symptoms.Objective,accurate,and quantitative assessment of extraocular muscle function is of critical significance in the diagnosis establishment,disease monitoring,treatment efficacy evaluation,and prognosis prediction of ocular myasthenia gravis.Traditional clinical assessment methods largely rely on subjective judgment and suffer from insufficient sensitivity.In recent years,with the rapid advancement of digital technology,imaging modalities,and artificial intelligence,substantial progress has been achieved in the quantitative evaluation of extraocular muscle function.This article systematically reviews the current technological advances in quantitative assessment of extraocular muscles in MG patients,compares and analyzes the advantages and limitations of various methods,and provides perspectives on future directions in this field.

Key words: myasthenia gravis, extraocular muscle, quantitative assessment, digital technology, artificial intelligence