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Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?
Alireza Mohseni1, Elena Ghotbi1, Foad Kazemi1
1Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA.
Radiologic Clinics of North America
|October 11, 2024
Summary
Artificial intelligence (AI) is transforming diagnostic imaging in radiology. This technology, including machine learning and deep learning, promises to enhance capabilities, streamline workflows, and improve patient care.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Artificial intelligence (AI) integration is revolutionizing diagnostic imaging.
- Recent studies and surveys explore AI's impact on radiology.
Purpose of the Study:
- To provide an overview of current research on AI applications in radiology.
- To highlight key insights into AI's expected impact on radiologists' work volume.
Main Methods:
- Literature review of recent studies and surveys on AI in radiology.
- Analysis of AI's role, including machine learning and deep learning.
Main Results:
- AI demonstrates significant potential to advance diagnostic imaging.
- Machine learning and deep learning are key components of AI in radiology.
- AI is expected to influence the work volume of diagnostic radiologists.
Conclusions:
- AI holds great promise for enhancing diagnostic capabilities in radiology.
- AI integration can improve workflow efficiency and patient care.
- The future role of AI in radiology is significant and transformative.
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