David Ring

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review

2019 · 186 Zit. · Clinical Orthopaedics and Related Research

Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?

2020 · 76 Zit. · Clinical Orthopaedics and Related Research

Interobserver reliability of the Schatzker and Luo classification systems for tibial plateau fractures

2016 · 36 Zit. · Injury

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

2022 · 35 Zit. · European Journal of Trauma and Emergency Surgery

Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations

2022 · 32 Zit. · European Journal of Trauma and Emergency Surgery

The effect of peer review on the improvement of rejected manuscripts

2021 · 13 Zit. · Accountability in Research

Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty

2024 · 10 Zit. · Clinical Orthopaedics and Related Research

Factors Associated with a Recommendation for Operative Treatment for Fracture of the Distal Radius

2021 · 5 Zit. · Journal of Wrist Surgery

Artificial neural networks outperform linear regression in estimating 9-month patient-reported outcomes after upper extremity fractures with increasing number of variables

2024 · 3 Zit. · OTA International The Open Access Journal of Orthopaedic Trauma