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Artificial Intelligence-Assisted Prescription Determination for Orthokeratology Lens Fitting: From Algorithm to
Wei-Zhong Lan1, He Tang, Long-Bo Wen
1Guangzhou Aier Eye Hospital (W.-Z.L.), Jinan University, Guanghzou, China; School of Stomatology and Ophthalmology (W.-Z.L., X.L., Z.Y.), Xianning Medical College, Hubei University of Science and Technology, Xianing, China; SoC Design Center (H.T.), University of Electronic Science and Technology of China, Chengdu, China; School of Electronic Science and Engineering (H.T.), University of Electronic Science and Technology of China, Chengdu, China; Aier School of Ophthalmology (L.-B.W., Z.C., Y.Z., Z.Y.), Central South University, Changsha, China; Information Center (W.D., M.W., F.T.), Aier Eye Hospital Group, Changsha, China; School of Information and Software Engineering (W.-J.W.), University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering (Y.T.), University of Electronic Science and Technology of China, Chengdu, China; Hunan Province Optometry Engineering and Technology Research Center (W.-Z.L., L.-B.W., Z.C., X.L., Z.Y.), Changsha, China; and Hunan Province International Cooperation Base for Optometry Science and Technology (W.-Z.L., L.-B.W., Z.C., X.L., Z.Y.), Changsha, China.
Artificial intelligence (AI) can improve orthokeratology (OK) lens prescription efficiency. This AI system reduced trial numbers and improved outcomes, especially for junior clinicians managing myopia.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Biomedical Engineering
Background:
- Orthokeratology (OK) is a myopia control method using specialized lenses.
- Accurate prescription is crucial for OK lens success.
- Varying clinician experience can lead to prescription discrepancies.
Purpose of the Study:
- To evaluate an AI system for assisting orthokeratology lens prescription.
- To assess the impact of AI on prescription efficiency and clinical outcomes.
Main Methods:
- Developed and validated an AI algorithm using 11,502 OK lens fitting records.
- Implemented an online AI-assisted system for a real-world clinical trial.
- Compared outcomes between junior and senior clinicians using the AI system.
Main Results:
- AI algorithm accuracy reached 0.80-0.83 for key prescription parameters.
- AI significantly reduced the number of trials needed for prescription determination (P <0.01).
- Junior clinicians using AI achieved outcomes comparable to senior clinicians.
Conclusions:
- AI enhances orthokeratology prescription efficiency and reduces outcome variability.
- AI integration can improve service quality and manage the global myopia increase.
- AI-assisted systems can bridge experience gaps among clinicians.
