The field of imaging informatics, a subset of biomedical and health informatics, involves the creation, storage, and transmission of medical images through the intersection of computer science, data science, information technology, biomedical engineering, biomedical and clinical informatics, and clinical care (What is Imaging Informatics? 2022, November 11. Retrieved from SIIM: https://siim.org/communication/what-is-imaging-informatics/ ). Imaging informatics evolved from its humble beginnings with early X-ray images to the dynamic interconnected networked ecosystem that exists today. The ecosystem consists of imaging modalities, software and hardware systems, healthcare professionals, and standardized communication protocols. This technology also laid the foundations for teleradiology transforming imaging from a local network to a global network, with the capability to transmit medical images over large geographic areas limited only by the network bandwidth. Imaging informatics includes medical specialties such as gastroenterology, dermatology, pathology, cardiology, and ophthalmology; however, radiology has been the medical specialty with the heaviest use of imaging informatics. Recent advances in computerized learning algorithms such as ML (machine learning) and AI (artificial intelligence) paved the way to advanced image processing with routine uses in clinical operation optimization, image interpretation, and automation of basic functions. AI is currently being used in cancer research to aid in tumor image analysis.