George Shih

ChatGPT and Other Large Language Models Are Double-edged Swords

2023 · 965 Zit. · Radiology

The RSNA Pediatric Bone Age Machine Learning Challenge

2018 · 442 Zit. · Radiology

Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions

2019 · 161 Zit. · Radiology Artificial Intelligence

Evaluating GPT4 on Impressions Generation in Radiology Reports

2023 · 142 Zit. · Radiology

Improving model fairness in image-based computer-aided diagnosis

2023 · 27 Zit. · Nature Communications

Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds

2024 · 21 Zit. · Diagnostics

Artificial intelligence and medical imaging: applications, challenges and solutions

2021 · 13 Zit. · The Medical Journal of Australia

DeepSeek is open-access and the next AI disrupter for radiology

2025 · 12 Zit. · Radiology Advances

Generative Large Language Models Trained for Detecting Errors in Radiology Reports

2025 · 11 Zit. · Radiology

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization

2022 · 10 Zit. · Journal of Digital Imaging

Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges

2024 · 8 Zit. · Radiology Artificial Intelligence

Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification

2025 · 3 Zit. · Journal of Imaging Informatics in Medicine

Prompt Engineering Strategies Improve the Diagnostic Accuracy of GPT-4 Turbo in Neuroradiology Cases

2024 · 2 Zit.

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging

2023 · 2 Zit. · Canadian Association of Radiologists Journal

Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 2 Zit. · Medical Physics