Development of an automated method for audiometric data extraction and analysis using voting optical character recognition

Researchers developed an automated method using voting optical character recognition (OCR) to extract and analyze audiometric data from image-based medical records, improving efficiency over manual data entry. This approach leverages deep-learning OCR models to accurately digitize hearing test results stored as images, facilitating large-scale clinical research and analysis.