Matthew G. Crowson

Sunnybrook Health Science Centre, Harvard University

Papers

Total Citations

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About

Dr. Matthew G. Crowson is a pioneering otolaryngologist and researcher at the forefront of integrating artificial intelligence into surgical practice and hearing restoration. His work primarily explores how machine learning can revolutionize cochlear implantation and surgical training in otolaryngology. In his landmark 2019 structured review, "Machine Learning and Cochlear Implantation," Dr. Crowson systematically examined how AI can automate pattern recognition and boost clinical efficiency in hearing restoration, establishing a foundational framework that has garnered 59 citations and shaped subsequent research in the field. More recently, his 2025 scoping review on "Artificial Intelligence in Surgical Training and Applications to Otolaryngology" addresses the critical challenge of subjective surgical skill assessments, proposing AI-driven solutions to reduce variability and bias in evaluating trainee performance. Dr. Crowson’s contributions are particularly notable for bridging the gap between cutting-edge computational methods and practical clinical applications, offering a roadmap for how machine learning can enhance both patient outcomes and surgical education. His work continues to influence how otolaryngologists approach hearing loss treatment and surgical training, positioning him as a key voice in the AI-medicine intersection.