ROLE OF DIGITAL FACIAL MOTION TRACKING APPS IN EARLY DETECTION AND REHABILITATION MONITORING OF BELL’S PALSY

Abstract

Idiopathic palsy, another name for Bell's palsy, is a type of facial paralysis that only affects one side of the face. Its impact on the face easily aggravates it. The impact not only results in total loss but also greatly distresses the patient. The beginning and length of steroid treatment also greatly enhance recovery. The impact of the nerve has traditionally been evaluated through clinical observation and objective measurements like the House-Brackmann scale. Applications for digital facial motion tracking have been made possible by recent developments in mobile health technology and artificial intelligence. These smartphone-based gadgets provide an objective evaluation of facial symmetry and muscle activity using machine learning algorithms and the camera landmark detection system. By enabling the patient to monitor facial recovery at home and giving the doctor useful information, these applications improve patient engagement and continuity of care. This review discusses the technological foundation, applications, advantages and disadvantages, and potential future developments for digital facial motion tracking applications in the early diagnosis and rehabilitation follow-up of Bell's palsy patients.