Tim's research targets the application of AI in healthcare, specifically focusing on diagnosing and assessing the severity of COPD through audio auscultations. By leveraging machine learning techniques, he transforms lung sound data to extract key features for better classification. His innovative approach not only enhances diagnostic accuracy but also sets the stage for future work incorporating computer vision and sensor fusion techniques.
