John R. Zech

Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports

2018 · 139 Zit. · Radiology

Detecting pediatric wrist fractures using deep-learning-based object detection

2023 · 51 Zit. · Pediatric Radiology

Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the <i>AJR</i> Special Series on AI Applications

2022 · 43 Zit. · American Journal of Roentgenology

Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs

2023 · 40 Zit. · Pediatric Radiology

Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures

2024 · 29 Zit. · Skeletal Radiology

Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models

2019 · 19 Zit. · Annals of Translational Medicine

Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: <i>AJR</i> Expert Panel Narrative Review

2023 · 10 Zit. · American Journal of Roentgenology

Using BERT Models to Label Radiology Reports

2022 · 3 Zit. · Radiology Artificial Intelligence

AI as teacher: effectiveness of an AI-based training module to improve trainee pediatric fracture detection

2025 · 3 Zit. · Skeletal Radiology

Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging

2019 · 2 Zit. · arXiv (Cornell University)

Enhancing automated fracture detection in paediatric wrist X-rays with paired and unpaired cast suppression methods

2026 · 0 Zit. · International Journal of Computer Assisted Radiology and Surgery

Test-Driving Radiology Artificial Intelligence Products Should Be Standard Practice

2026 · 0 Zit. · American Journal of Roentgenology