研究目的
Investigating the application and performance of artificial intelligence systems in ophthalmology for image analysis and disease detection.
研究成果
AI systems demonstrate high accuracy in detecting and classifying ophthalmic diseases, with performance comparable to or exceeding that of human experts. However, their clinical application requires careful consideration of data representativeness, interpretability, and integration into clinical workflows.
研究不足
The need for large, representative training datasets to minimize bias and ensure external applicability. The challenge of ensuring AI system classifications are interpretable to clinicians.
