Researchers at Stony Brook University are developing a groundbreaking AI technique that could revolutionize CT scans, making them faster, safer, and more accurate. This innovative method utilizes a deep learning technique called Deep Image Prior (DIP), which doesn't require large amounts of training data, setting it apart from most AI tools.
The AI technique enables high-quality CT scans with reduced radiation doses, minimizing patient exposure. It produces images with superior quality, comparable to or even surpassing those from commercial CT machines, and is much faster than traditional methods. This allows for quicker diagnosis and treatment.
The benefits of this technology are significant. Reduced radiation exposure makes CT scans safer for patients, particularly those requiring repeated scans. Enhanced image quality enables doctors to make more accurate diagnoses, and faster scan times streamline the diagnostic process.
With the support of Stony Brook University's AI Seed Grant Program, this research has the potential to transform medical imaging, benefiting patients and healthcare professionals alike
