Artificial intelligence integration in medical imaging data

The new technology of Artificial Intelligence (AI) has become an important aspect of medical imaging. It allows replacing the manual interpretation with the automated analysis based on the data. Clinical data quality in the healthcare industry is growing at a rate of more than 19 terabytes annually bringing a compelling necessity to derive significant information. This is a process of examining trends in the information and handling the complexity of the huge amount of medical data with high precision based on time with time-dependent procedures. Deep-learning systems, more specifically AI systems, have proven to be effective and efficient in automating the complex medical imaging processes. These processes involve image acquisition, image enhancement, image segmentation, quantitative feature extraction, image diagnosis, image prognostics, clinical workflow optimization and image guided surgical planning. The chapter speaks of the relevance of AI towards enhancing medical analysis of images. It explains the ways in which AI is revolutionizing diagnostic radiology to be more patient centered. Along with computational improvements, AI-based imaging analytics will be able to achieve excellence in precision medicine. These systems offer scalable and high-quality frameworks which enable real-time interpretation of the biological data. This eventually helps in the accuracy of diagnosis and increases patient survival.