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The application of artificial intelligence, and in particular machine learning, to the practice of radiology, is already impacting the quality of imaging care. It will increasingly do so in the… Click to show full abstract
The application of artificial intelligence, and in particular machine learning, to the practice of radiology, is already impacting the quality of imaging care. It will increasingly do so in the future. Radiologists need to be aware of factors that govern the quality of these tools at the development, regulatory and clinical implementation stages in order to make judicious decisions about their use in daily practice.
Keywords:
artificial intelligence;
medical imaging;
radiologists need;
quality
Journal Title: Journal of Medical Imaging and Radiation Oncology
Year Published: 2022
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Journal Title: Journal of Medical Imaging and Radiation Oncology
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!