Jarrel Seah

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

2024 · 84 Zit. · The Lancet Digital Health

Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports

2024 · 54 Zit. · Radiology Artificial Intelligence

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

2021 · 45 Zit. · BMJ Open

Prime Time for Artificial Intelligence in Interventional Radiology

2022 · 36 Zit. · CardioVascular and Interventional Radiology

Charting the potential of brain computed tomography deep learning systems

2022 · 30 Zit. · Journal of Clinical Neuroscience

Artificial intelligence and medical imaging: applications, challenges and solutions

2021 · 13 Zit. · The Medical Journal of Australia

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

2024 · 12 Zit. · NEJM AI

Drafting the Future: The Dawn of AI Report Generation in Radiology

2025 · 5 Zit. · Radiology

Enhancing Radiographic Diagnosis: CycleGAN-based methods for reducing cast shadow artifacts in wrist radiographs

2024 · 0 Zit.