Medical image analysis is a research field and methodological approach focused on the extraction, analysis, and interpretation of clinically relevant information from medical images. This involves applying computational techniques and algorithms to quantitative imaging data for purposes such as diagnosis, treatment planning, and monitoring. Key characteristics include the development of methods for image segmentation, registration, feature extraction, and classification, often utilizing machine learning and artificial intelligence. Its significance lies in its essential contribution to improving precision in clinical decision-making, advancing biomedical research, and enhancing patient outcomes.