Thomas Dratsch

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

2023 · 226 Zit. · Radiology

Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives

2020 · 131 Zit. · Journal of Medical Internet Research

Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

2024 · 114 Zit. · Radiology

Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs

2019 · 46 Zit. · Insights into Imaging

The impact of AI suggestions on radiologists’ decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination

2023 · 39 Zit. · Scientific Reports

Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist

2020 · 13 Zit. · Insights into Imaging

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

2020 · 11 Zit. · European Radiology

Closing the loop for AI-ready radiology

2023 · 4 Zit. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren

GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine

2025 · 4 Zit. · European Radiology

Large language model-based uncertainty-adjusted label extraction for artificial intelligence model development in upper extremity radiography

2025 · 2 Zit. · European Radiology

From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models

2025 · 2 Zit. · European Radiology

The Influence of Artificial Intelligence Autonomy on Physicians Work Outcomes in Healthcare: A Lab-in-the-Field Experiment

2025 · 1 Zit. · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

Symptom-Only Localization of Brainstem Ischemia: Large Language Models vs. Neurologists in 109 Diffusion-Weighted Imaging–Positive Cases: A Retrospective Study (Preprint)

2025 · 0 Zit.

Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey

2026 · 0 Zit. · Radiology

Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives (Preprint)

2020 · 0 Zit.