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Future Perspectives in Radiology: Artificial Intelligence for Responsible Imaging (AIRI)
Kunmilayo Olayeye1, Christina Regine Owens-Charles1, Jashkumar Choudhari1
1Foundation, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Cureus
|April 7, 2025
Summary
Artificial intelligence for responsible imaging (AIRI) aids clinical decisions to reduce unnecessary medical scans and radiation exposure. This AI system optimizes imaging use for clinicians, radiologists, and patients, improving healthcare efficiency and outcomes.
Area of Science:
- Medical Imaging Informatics
- Artificial Intelligence in Healthcare
- Radiology Workflow Optimization
Background:
- Artificial intelligence (AI) is transforming healthcare, particularly in radiology, by enhancing accuracy and workflow.
- Overuse and misuse of medical imaging lead to increased costs, radiation exposure, and diagnostic delays.
- A need exists for systems that promote appropriate and efficient use of diagnostic imaging.
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