Aaron J. Krych

Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging

2022 · 43 Zit. · Knee Surgery Sports Traumatology Arthroscopy

Machine learning can reliably identify patients at risk of overnight hospital admission following anterior cruciate ligament reconstruction

2020 · 27 Zit. · Knee Surgery Sports Traumatology Arthroscopy

Medical Imaging Applications Developed Using Artificial Intelligence Demonstrate High Internal Validity Yet Are Limited in Scope and Lack External Validation

2024 · 13 Zit. · Arthroscopy The Journal of Arthroscopic and Related Surgery

Machine learning in sports medicine: need for improvement

2021 · 12 Zit. · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine

AKIRA: Deep learning tool for image standardization, implant detection and arthritis grading to establish a radiographic registry in patients with anterior cruciate ligament injuries

2025 · 6 Zit. · Knee Surgery Sports Traumatology Arthroscopy

American academy of Orthopedic Surgeons' OrthoInfo provides more readable information regarding meniscus injury than ChatGPT-4 while information accuracy is comparable

2025 · 5 Zit. · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine

Readability assessment of ChatGPT 5.0 responses are more complex for anterior cruciate ligament reconstruction compared to American Academy of Orthopaedic Surgeons’ OrthoInfo

2026 · 0 Zit. · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine