Abstract
In recent years, the application of artificial intelligence (AI) to medical images has advanced rapidly. Especially since the learning method called deep learning has spread, we have made remarkable progress including precision. It is application ranges from detection of abnormal lesion on the image to screening assistants or selection of drugs necessary for treatment.
Study of nuclear medicine is progressing with AI, and reports are also made on bone scintigraphy and PET images. In nuclear cardiology, software for detecting abnormal lesion of myocardium using artificial neural network (ANN) by machine learning and making it useful for image interpretation aid has been developed. In the future, it is expected that study and development will also advance interpretation assistance by deep learning and abnormal lesion detection. However, for deep learning, the number of images required for study becomes enormous and it is a point of discussion.
