Audiogram Digitization

Audiogram digitization focuses on automatically extracting hearing threshold data from scanned or photographed audiograms, aiming to streamline analysis and improve efficiency in healthcare and insurance processing. Current research employs machine learning approaches, including multi-stage neural networks, to accurately interpret the graphical data within audiograms, often achieving high accuracy in threshold extraction. This automated process has significant implications for reducing manual workload in audiology clinics and accelerating claims processing for workplace hearing loss compensation, ultimately improving both patient care and administrative efficiency.

Papers