Occasionally, physicians have to measure certain bony structures of a patient precisely and locate so called key points e.g. for purposes such as surgical procedures. Up to now, the radiographs were usually analyzed manually. With increasing frequency, classification tasks are done by a computer in an automated process. In order to automate the key point detection on radiographs, Constantin Tilman Schott developed innovative software that uses artificial intelligence (AI) to identify these important key points. His program uses self-learning algorithms to perform this task. If enough training data is provided, the program can predict the key points with a high degree of accuracy—making the AI as precise as a physician.