Panagiotis Korfiatis

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

2018 · 66 Zit. · American Journal of Roentgenology

Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations

2024 · 30 Zit. · Mayo Clinic Proceedings Digital Health

Large language models in real-world clinical workflows: a systematic review of applications and implementation

2025 · 20 Zit. · Frontiers in Digital Health

Challenges of Implementing LLMs in Clinical Practice: Perspectives

2025 · 18 Zit. · Journal of Clinical Medicine

Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case

2025 · 6 Zit. · Journal of the American College of Radiology

Evaluating prompt and data perturbation sensitivity in large language models for radiology reports classification

2025 · 4 Zit. · JAMIA Open

FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review

2025 · 4 Zit. · Current Problems in Diagnostic Radiology

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

2026 · 4 Zit. · The Lancet Digital Health

Socio-Demographic Modifiers Shape Large Language Models’ Ethical Decisions

2025 · 4 Zit. · Journal of Healthcare Informatics Research

AI-generated videos in medical education: systematic review

2025 · 3 Zit. · BMJ Open Quality

Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation

2025 · 3 Zit. · medRxiv

Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical Implications

2025 · 3 Zit. · medRxiv

Application of AI generated text-to-video in medical education: Systematic review

2025 · 3 Zit. · medRxiv

Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning

2022 · 1 Zit. · arXiv (Cornell University)

AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows

2023 · 1 Zit. · Frontiers in Radiology