Andrew Brostek

Andrew Brostek is a part-time teaching academic at The University of Western Australia specializing in AI-driven dental diagnostics, with research focused on deep learning applications for radiographic analysis and caries detection.

Education:

• BSc, Monash University
• BDSc, University of Western Australia

His research integrates neural networks with dental practice to automate tooth numbering and caries detection in panoramic/bitewing radiographs, particularly addressing challenges in geriatric dentistry through the "silver wave" framework. This work targets precision diagnostics for elderly patients while advancing computer-aided dental imaging.

Recent publications demonstrate a clear trend toward neural network solutions for dental image interpretation, with significant contributions to automated detection systems that improve diagnostic accuracy in permanent teeth analysis and proximal caries identification.

Awards:

• Fellow of the International College of Dentists (FICD)
• Fellow of the Pierre Fauchard Academy (FPFA)

Brostek maintains active research collaborations across multiple institutions as evidenced by co-authorship patterns, though specific grant details and student supervision activities are not documented in available sources. His work positions him at the intersection of technological innovation and clinical dentistry evolution.