Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge
1. Introduction
2. The Challenge
3. Strategies for Optimizing Communication
4. Conclusions
Acknowledgments
Conflicts of Interest
Abbreviations
| AI | Artificial intelligence |
| CT | Computed Tomography |
| DLRs | Diagnostic reference levels |
| DMS | Dose management systems |
| DNA | Deoxyribonucleic Acid |
| ED | Emergency Department |
| GPT | Generative pre-trained transformer |
| LLM | Large language model |
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Pozzessere, C. Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge. Tomography 2023, 9, 717-720. https://doi.org/10.3390/tomography9020057
Pozzessere C. Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge. Tomography. 2023; 9(2):717-720. https://doi.org/10.3390/tomography9020057
Chicago/Turabian StylePozzessere, Chiara. 2023. "Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge" Tomography 9, no. 2: 717-720. https://doi.org/10.3390/tomography9020057
APA StylePozzessere, C. (2023). Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge. Tomography, 9(2), 717-720. https://doi.org/10.3390/tomography9020057
