How Artificial Intelligence Is Transforming Medical Imaging
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- As of June 2025, the FDA had approved 777 medical devices incorporating artificial intelligence, and approximately 66% of radiology departments across the United States had adopted AI technologies to enhance scanning speed and detect abnormalities.
- This widespread AI adoption followed the FDA's 2024 cross-center framework that streamlined the review process, encouraging innovators while addressing privacy and technical concerns.
- AI now drafts reports, reduces errors, and cuts reporting time by up to 30%, relieving radiologist workload and decreasing burnout as shown in RSNA 2024 sessions.
- Advanced AI models trained on massive datasets increasingly enable predictive precision in medical imaging, such as the FDA-cleared tool predicting breast cancer risk from standard 2D mammograms.
- These developments suggest AI will transform medical imaging toward faster, safer scans and earlier diagnosis, freeing clinicians for more nuanced patient care and personalized treatment decisions.
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How artificial intelligence is transforming medical imaging | News Channel 3-12
MUNGKHOOD STUDIO // Shutterstock How artificial intelligence is transforming medical imaging A decade ago, deep learning prototypes wowed conferences but rarely touched patients. By June 2025, 777 artificial intelligence-enabled devices had received Food and Drug Administration (FDA) clearance, and two-thirds of U.S. radiology departments used AI in some capacity. This rapid shift pairs radiologists’ pattern-recognition skills with machines that…

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