Assessment of Eyelid Topology and Kinetics Based on Deep Learning Method

Launched by SECOND AFFILIATED HOSPITAL, SCHOOL OF MEDICINE, ZHEJIANG UNIVERSITY · Jun 8, 2021

Keywords

ClinConnect Summary

This clinical trial is looking at eyelid health and function, specifically how the eyelids move and how they look. Researchers want to use advanced computer technology, called deep learning, to automatically analyze features of the eyelids, like their shape and how well they close. They will also study how people blink, including how often they blink and how fast. The goal is to improve the understanding of eyelid conditions and help doctors better assess and treat various eyelid diseases.

To participate in this study, you could be a healthy volunteer or someone with specific eyelid issues, such as droopy eyelids (blepharoptosis), uncontrollable blinking (blepharospasm), dry eyes, or a thyroid condition called Graves' disease. However, if you have certain other eye conditions, you may not be eligible. If you join the study, you can expect to undergo some non-invasive assessments where researchers will collect information about your eyelids and blinking patterns. This research could lead to new ways of diagnosing and treating eyelid problems in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. normal volunteers without eyelid diseases
• • 2. patients with blepharoptosis
• • 3. patients with blepharospasm
• • 4. patients with dry eye disease
• • 5. patients with Graves' disease
• Exclusion Criteria:
• • variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil