Abdulganeey Olawin

- Contributed to 20+ accepted abstracts and 1 peer-reviewed publication on AI, PROMs, and

diagnostic/surgical techniques

- Participated in cadaveric testing to validate foot and ankle surgical procedures

- Validated deep learning software for CT segmentation of healthy and pathological musculoskeletal anatomy

- Designed femoral and tibial implants using literature-backed design constraints and ASTM standards

- Developed a mechanical testing system to evaluate implant structural integrity

- Led team collaboration, proposal writing, and advisor feedback sessions

• Developed an automated data tracking system reducing radiograph analysis time by 3+ hours weekly
• Applied machine learning for anatomical feature detection and radiograph classification
• Annotated scoliosis radiographs through detailed review of thoracic spine morphology

• Conducted retrieval analysis of pelvic implants, presented at the 34th ISTA Congress
• Analyzed 17 hinge knee megaprostheses using the Hood method and finite element modeling
• Produced patient-specific anatomical models in PLA and cast silicone analogs for surgical simulation

• Enrolled and monitored patients with scoliosis and medial epicondyle fractures for national registry
• Managed REDCap data entry and compiled case reports for the Pediatric Spine Study Group