Research progress and application of artificial intelligence in thyroid associated ophthalmopathy

Area of Science:

• Ophthalmology
• Medical Artificial Intelligence
• Endocrinology

Background:

• Thyroid-associated ophthalmopathy (TAO) is a complex dysthyroid-related orbitopathy significantly impacting quality of life.
• Current diagnosis and management face challenges due to a limited number of specialized ophthalmologists.
• Artificial intelligence (AI) has emerged as a powerful tool for screening chronic eye diseases.

Purpose of the Study:

• To provide an overview of AI applications in the clinical diagnosis of TAO.
• To review AI's role in grading TAO activity and severity.
• To explore AI's potential in predicting therapeutic outcomes for TAO patients.

Main Methods:

• Literature review of recent studies on AI in ophthalmology.
• Analysis of AI algorithm performance in TAO diagnosis and grading.
• Evaluation of AI's predictive capabilities for TAO treatment responses.

Main Results:

• AI demonstrates effectiveness in the early diagnosis and evaluation of TAO.
• AI tools facilitate objective grading of TAO activity and severity.
• AI shows potential in predicting treatment success and guiding clinical decisions.

Conclusions:

• AI applications are advancing the clinical diagnosis, grading, and outcome prediction for TAO.
• AI offers rapid, portable, and compatible solutions for TAO management.
• Further research and development are needed to address challenges and optimize AI in TAO treatment.