[HTML][HTML] Convolutional neural network incorporating multiple attention mechanisms for MRI classification of lumbar spinal stenosis

J Lin, H Zhang, H Shang - Bioengineering, 2024 - mdpi.com
Background: Lumbar spinal stenosis (LSS) is a common cause of low back pain, especially
in the elderly, and accurate diagnosis is critical for effective treatment. However, manual …

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

DL Payne, K Purohit, WM Borrero, K Chung, M Hao… - Academic radiology, 2024 - Elsevier
Rationale and Objectives In our study, we evaluate GPT-4′ s performance on the American
College of Radiology (ACR) 2022 Diagnostic Radiology In-Training Examination (DXIT). We …

Performance of GPT-4 on the American College of Radiology In-Service Examination

DL Payne, K Purohit, WM Borrero, K Chung, M Hao… - bioRxiv, 2024 - biorxiv.org
Objectives No study has evaluated the ability of ChatGPT-4 to answer image-rich diagnostic
radiology board exam questions or assessed for model drift in GPT-4's image interpretation …

Deep learning model for automated diagnosis of degenerative cervical spondylosis and altered spinal cord signal on MRI

A Lee, J Wu, C Liu, A Makmur, YH Ting, FEM Nor… - The Spine Journal, 2025 - Elsevier
Abstract BACKGROUND CONTEXT A deep learning (DL) model for degenerative cervical
spondylosis on MRI could enhance reporting consistency and efficiency, addressing a …