Abstract: Myasthenia gravis （MG) is manifested with prolonged treatment duration, fluctuating symptoms and potential lethality, and imposes a significant disease burden on both patients and their families, necessitating long-term and effective health management. Digital health technologies demonstrate significant potential in the health management of MG patients. Digital symptom assessment employs artificial intelligence to achieve objective quantification of ptosis, respiratory function, and vital signs, thereby enhancing the accuracy of remote assessment. Remote dynamic monitoring integrates data related to symptoms, medication and physiological parameters via mobile platforms and wearable devices and enables continuous monitoring and early warning, thereby elevating patients’ self-management capabilities. Digital health cognitive guidance, facilitated by large language models and digital video platforms, can provide personalized health education, promote knowledge dissemination and address the limitations of traditional educational resources. This review summarizes the applications of digital symptom assessment, remote dynamic monitoring and digital health education in MG patients, aiming to provide insights for future digital health management strategies for MG patients.