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Future Directions and Innovations in AI and Imaging
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Radiology has been significantly impacted by artificial intelligence (AI), which has increased imaging capabilities, workflow efficiency, and diagnostic accuracy. With an emphasis on technologies like explainable AI, generative adversarial networks, and deep learning, this book chapter examines developments in AI applications in Imaging. These tools have changed medical Imaging by making automatic segmentation, picture reconstruction, and multimodal data integration possible. AI has also improved theranostic techniques, predictive analytics, and point-of-care diagnostics. Even though these developments mark a new age in radiography, issues including data privacy, moral dilemmas, and integration barriers still exist. This chapter highlights the revolutionary potential of AI-powered Imaging in both clinical and non-clinical applications while speculating about its future paths.
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