Revolutionizing Healthcare

Abstract

This chapter provides a thorough overview of the application of image processing techniques across various domains in healthcare. Advanced image analysis and computer vision algorithms are revolutionizing medical imaging, computer-aided diagnosis, surgical guidance, and telemedicine applications. Techniques for image enhancement, segmentation, reconstruction, and classification along with machine learning are covered. The implementation, evaluation, and performance of these techniques using clinical imaging datasets is analyzed through multiple case studies. Detailed results demonstrate high accuracy in disease detection, improved workflows, and enhanced visualization–- ultimately leading to better healthcare delivery and patient outcomes. Current challenges and future directions are discussed to guide further development of imaging informatics tools and their integration into routine clinical practice.