Advancing Orthopedic Care Through Cutting Edge Research
Dr. Kyle Kunze is a nationally and internationally recognized physician-scientist whose research is positioned at the intersection of orthopedic sports medicine and artificial intelligence. He has authored more than 250 peer-reviewed publications and delivered invited lectures across the United States, South America, and Europe, reflecting a research program built on both remarkable productivity and global reach. His recent work pioneers the use of AI to individualize patient care — from predicting who will benefit most from surgery to developing tools that forecast long-term outcomes and complications before they occur — with the ultimate goal of moving beyond one-size-fits-all treatment toward care tailored to each patient's unique risk profile and goals.
This innovative approach has earned him some of the field's highest honors, including the American Journal of Sports Medicine Best Systematic Review Award, multiple AANA awards for excellence in AI and robotics research, and competitive research grants from AANA, POSNA, and the OREF. He also serves as an Associate Editor for Arthroscopy: The Journal of Arthroscopic and Related Surgery - the #1 ranked orthopedic sports medicine journal. He has also guest-edited several special journal issues on artificial intelligence in musculoskeletal care. Together, his leadership roles reflect his standing as a trusted voice shaping the future of the field. Above all, his research is driven by a single mission: using data and technology to help patients heal faster, recover more fully, and receive care built specifically around them.
A Leading Voice in the Future of Orthopedic Care
Certified in Artificial Intelligence in Healthcare through MIT, Dr. Kunze has developed and studied clinical tools that forecast surgical outcomes, predict complication risk, and support clinical decision-making in hip, knee, and shoulder care. His work has been featured in prominent journals such as the New England Journal of Medicine. He is an invited speaker annually at both national and international meetings to teach others about this evolving area of medicine.
- A list of Dr. Kunze's publications related to AI can be found here.
“Individualized Forecasting of the Ten-Year Risk of Revision Hip Arthroscopy: A Machine Learning Analysis”
“Deep Learning Prediction of Hip Joint Center on Standard Pelvis Radiographs” — The Hip Society's John Charnley Award
“Large Language Models May Perpetuate Racial Biases in Musculoskeletal Healthcare”
Selected Awards & Honors
Service to the Field
Associate Editor
Arthroscopy: The Journal of Arthroscopic and Related Surgery (2025–Present)
Co-Director, AI Task Force
Arthroscopy Association of North America
Editorial Board Member
HSS Journal: The Musculoskeletal Journal of the Hospital for Special Surgery (2020–Present)
Peer Reviewer
The American Journal of Sports Medicine (2020–Present)
Research Committee Member
Arthroscopy Association of North America (2026–2028)
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