معرفی
Ronald Dandurand, MD, serves as an Associate Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences and as an Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site. He is affiliated with the Translational Research in Respiratory Diseases Program and the Department of Medicine, Division of Respiratory Medicine at MUHC, focusing on advancing clinical respiratory diagnostics through technology innovation.
His research centers on phenotyping asthma, COPD, and interstitial lung disease using respiratory oscillometry, quantitative imaging, and alpha-1 antitrypsin deficiency screening. He develops novel intra-breath oscillometry parameters, CT scanning biomarkers, and home monitoring technologies to improve disease detection sensitivity and specificity in community practice settings. His work bridges conventional physiology with artificial intelligence applications for real-world respiratory management.
Analysis of his recent publications reveals a dominant focus on oscillometry standardization and clinical implementation, with emerging trends in AI-driven CT analysis and multi-modal diagnostic approaches combining oscillometry with spirometry and FeNO testing. His work consistently targets small airways dysfunction detection and treatable trait identification across respiratory conditions.
Dr. Dandurand leads the Technologies Working Group of the Respiratory Effectiveness Group (REG), organizing the Annual Montreal Oscillometry Summer Seminar since 2019. This initiative fosters international collaboration on oscillometry standardization and promotes evidence-based adoption of respiratory monitoring technologies in clinical practice worldwide.