Oculoplastics and Augmented Intelligence: A Literature Review.

Area of Science:

• Ophthalmology
• Medical Informatics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) and augmented intelligence present significant opportunities within oculoplastics.
• Applications span diagnosis, treatment recommendations, and administrative workflow optimization.

Purpose of the Study:

• To review current and potential AI applications in specific oculoplastic conditions.
• To address challenges and propose solutions for AI implementation in oculoplastics.

Main Methods:

• Literature review of AI applications in ptosis, eyelid/conjunctival cancer, thyroid-associated orbitopathy (TAO), giant cell arteritis (GCA), and orbital fractures.
• Discussion of AI's role in screening, surgical outcome prediction, and patient care enhancement.
• Exploration of privacy concerns and potential solutions like blockchain and federated learning.

Main Results:

• AI tools can aid in diagnosis, treatment planning, and administrative tasks, improving efficiency.
• AI demonstrates potential in predicting surgical outcomes and enhancing patient care through data-driven insights.
• Privacy concerns necessitate advanced solutions; large, validated datasets are crucial for AI development.

Conclusions:

• AI is a powerful augmentative tool for oculoplastic care, supporting clinical decision-making and administrative efficiency.
• Physician oversight is critical to mitigate potential AI errors and ensure patient safety.
• Further validation of AI, including large language models, is required for accurate patient counseling.