A Review of Artificial Intelligence To Redefine Radiology Combining Medical Imaging

Abstract

This thorough analysis tells the story of artificial intelligence's (AI) entry into radiography, which is causing revolutionary changes in the medical field. From the first X-ray discovery to the use of deep learning and machine learning in contemporary medical image processing, it charts the development of radiography. This review's main goal is to clarify the fundamental functions of AI in radiology, including image segmentation, computer-aided diagnosis, predictive analytics, and workflow optimization. Using real data from a number of case studies from various medical specialties, the significant influence of AI on diagnostic procedures, personalized medicine, and clinical workflows is highlighted. However, the integration of AI in radiology is not devoid of challenges. Their view ventures into the labyrinth of obstacles that are inherent to AI-driven radiology—data quality, the ’black box’ enigma, infrastructural and technical complexities, as well as ethical implications. The conclusion highlights how AI is driving transformation in radiology, a position that is based on persistent innovation, vibrant collaborations, and an unwavering dedication to moral responsibility.