ABSTRACT

Endocrine radiology is a broad field that encompasses many subspecialties of radiology, ranging from neuroradiology to abdominal radiology. In recent years, rapid advances in information processing hardware and, in particular, deep learning methods have led to artificial intelligence (AI) research and applications, triggering rapid changes in radiology. In parallel, various scientific institutions and organizations around the world have published numerous guidelines and resources. In this context, it is emphasized that the focus should be on the power of AI to create new opportunities, describing it as a “game changer,” and ensuring its ethical use with patient benefit in mind. Radiology is at the forefront of AI in the health discipline. In addition to scientific research on AI in medical imaging, there are numerous Conformité Européenne and Food and Drug Administration approved AI products used in daily practice. These applications have the potential to transform diagnostic processes by increasing accuracy in image interpretation. There are also many areas in endocrine radiology where AI can be utilized. Within these areas, thyroid nodules and pituitary adenomas are currently at the forefront. Parathyroid adenomas, adrenal glands, and neuroendocrine tumors are other areas being studied. This article discusses the general status of AI in radiology, specific AI applications in endocrine system imaging, ethical and legal dimensions, and future projections.