The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications

Technologies, Journal Year: 2025, Volume and Issue: 13(2), P. 77 - 77

Published: Feb. 12, 2025

This study introduces an Artificial Intelligence framework based on the Deep Learning model Bidirectional Encoder Representations from Transformers trained a dataset 2000–2023. The AI tool categorizes articles into six classes: Contactology, Low Vision, Refractive Surgery, Pediatrics, Myopia, and Dry Eye, with supervised learning enhancing classification accuracy, achieving F1-Scores averaging 86.4%, AUC at 0.98, Precision 87%, Accuracy 86.8% via one-shot training, while Epoch training showed 85.9% 92.8% Precision. Utilizing outputs, Autoregressive Integrated Moving Average provides forecasts all classes through 2030, predicting decreases in research interest for Surgery but increases Myopia Eye due to rising prevalence lifestyle changes. Stability is expected pediatric research, highlighting its focus early detection intervention. demonstrates effectiveness of diagnostic precision strategic planning optometry, potential implications broader clinical applications improved accessibility eye care.

Language: Английский

Air Quality Forecasting in Presence of Missing Data

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 250 - 261

Published: Jan. 1, 2025

Language: Английский