SUMMARY
Cody C. Wyles, M.D., is an orthopedic surgeon who studies the use of advanced artificial intelligence (AI) to improve care for musculoskeletal conditions.
Dr. Wyles is principle investigator of the Orthopedic Surgery Artificial Intelligence Laboratory at Mayo Clinic. The Wyles lab explores how AI can assist in diagnosing, planning and managing treatments more accurately and efficiently.
Major areas of study include predictive modeling to assess risks, AI-powered image processing for enhanced surgical precision, and data analysis tools for better patient classification and outcomes.
Dr. Wyles and his team work in all subdisciplines of orthopedics, including hip and knee reconstruction, shoulder and elbow reconstruction, spine, pediatric orthopedics, sports medicine, trauma, musculoskeletal oncology, hand and wrist, and foot and ankle.
Focus areas
- Predictive patient risk models. Developing algorithms to predict surgical risks and outcomes, which helps surgeons tailor treatments to individual needs more effectively.
- Automated image annotation and analysis. Enhancing the precision of medical imaging with AI to identify critical features quickly and accurately, which is vital for both diagnosis and surgical planning.
- Synthetic image generation. Generating digital simulations of surgical scenarios to help surgeons prepare and execute complex procedures with greater confidence and success.
- Data-driven patient phenotyping. Using machine learning to parse large datasets, which improves the classification of conditions and tailoring of care protocols.
- AI in postoperative monitoring. Applying AI to monitor the recovery process to optimize follow-up care and detect potential complications early.
Significance to patient care
Dr. Wyles' research in the Orthopedic Surgery Artificial Intelligence Lab is revolutionizing care by integrating AI into the clinical workflow. This integration significantly improves the accuracy of diagnosis and the effectiveness of treatment. AI-driven tools developed in the Wyles lab reduce the time required for medical imaging analysis, improve the customization of surgical plans and enable more-precise monitoring of recovery. Ultimately, these advancements lead to safer surgical procedures, quicker recoveries and better overall health outcomes for people with orthopedic conditions.
Professional highlights
- American Academy of Orthopaedic Surgeons (AAOS):
- Member, Committee on Devices, Biologics, and Technology, 2024-present.
- Member, Data Elements and Analysis Committee, American Joint Replacement Registry (AJRR), 2021-present.
- Reviewer, The Journal of Bone and Joint Surgery, 2023-present.
- Mayo Clinic:
- Member, Orthopedic Research Executive Committee, 2022-present.
- Mark B. Coventry Clinical Research Award, 2017, 2019, 2021.
- American Association of Hip and Knee Surgeons (AAHKS):
- Member, Research Committee, 2020-present.
- Best Poster Award, 2017-2019.
- Reviewer, The Journal of Arthroplasty, 2020-present.
- Reviewer, The Bone and Joint Journal, 2019-present.
- The Hip Society:
- Frank Stinchfield Award, "Creation of a Patient-Specific Total Hip Arthroplasty Periprosthetic Fracture Risk Calculator," 2023.
- John Charnley Award, 2016, 2019.
- CORR ORS Richard A. Brand Award for Outstanding Orthopaedic Research, The Association of Bone and Joint Surgeons, 2019.
- Chitranjan Ranawat, MD Award, The Knee Society, 2015, 2018.