Christopher L. Camp

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

2022 · 43 Zit. · Knee Surgery Sports Traumatology Arthroscopy

A practical guide to the development and deployment of deep learning models for the orthopedic surgeon: part II

2023 · 32 Zit. · Knee Surgery Sports Traumatology Arthroscopy

A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I

2022 · 31 Zit. · Knee Surgery Sports Traumatology Arthroscopy

A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy

2024 · 9 Zit. · Knee Surgery Sports Traumatology Arthroscopy

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

Segond Fractures Can Be Identified With Excellent Accuracy Utilizing Deep Learning on Anteroposterior Knee Radiographs

2024 · 4 Zit. · Arthroscopy Sports Medicine and Rehabilitation

Paper 44: Deep Learning Artificial Intelligence Tool for Automated Radiographic Determination of Posterior Tibial Slope in Patients with Anterior Cruciate Ligament Injuries

2023 · 0 Zit. · Orthopaedic Journal of Sports Medicine

Comparisons of machine learning models to logistic regression in orthopedic sports medicine are confounded by methodological heterogeneity: a systematic review and meta-analysis

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