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Artificial intelligence in oculoplastics: Novel applications and future prospects.
Shiqi Hui1, Dongmei Li1,2
1Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of the Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Artificial intelligence (AI) is transforming oculoplastics by improving diagnosis and surgical planning. Challenges like data diversity and interpretability remain, but AI promises to enhance patient care in this ophthalmic subspecialty.
Area of Science:
- Ophthalmology
- Medical Artificial Intelligence
- Oculoplastics
Background:
- Artificial intelligence (AI) integration is rapidly advancing within ophthalmic subspecialties.
- Oculoplastics, a specialized field, is experiencing significant AI-driven enhancements.
Purpose of the Study:
- To review current AI applications in oculoplastics.
- To identify challenges hindering AI adoption in oculoplastics.
- To explore future research and clinical translation of AI in oculoplastics.
Main Methods:
- A narrative review of peer-reviewed studies and recent developments.
- Focus on AI-assisted diagnosis, image analysis, surgical planning, and patient monitoring.
Main Results:
- AI applications include automated tumor detection, facial analysis for disorders, preoperative planning, and outcome assessment.
- Key challenges include limited data diversity, lack of interpretability, regulatory hurdles, and ethical concerns.
Conclusions:
- AI shows great promise for augmenting oculoplastic care.
- Multidisciplinary collaboration, clinical validation, and multimodal learning are crucial for AI's full potential in oculoplastics.
