Enhancing Diagnostic Accuracy in Radiology through AI-based Image Reconstruction and Enhancement

Abstract

This paper presents an innovative approach to enhance diagnostic accuracy in radiology through AI-based image reconstruction and enhancement techniques. By leveraging deep learning algorithms, our method improves image quality, reduces noise, and enhances contrast in medical imaging scans, such as X-rays, CT scans, and MRIs. Implementation of this approach in clinical practice has the potential to improve radiologists' diagnostic confidence, reduce interpretation errors, and enhance patient care outcomes.