Nuclear medicine imaging visualizes the “function” of organs or lesions by administering radioactive tracers into the body. Unlike CT and MRI, which depict anatomical structures, nuclear medicine displays functional information such as bone metabolism, cerebral blood flow, and myocardial oxygen supply. It is widely used for diagnosing conditions like cancer metastasis, dementia, and ischemic heart disease. Although the adoption of deep learning in nuclear medicine lags behind CT and MRI, recent applications of deep learning in nuclear medicine imaging have gained attention. This presentation will introduce diagnostic support software and other tools that are advancing toward practical use. Additionally, I will introduce two of my previous research projects: 1) Estimating the specific binding ratio (SBR) from a single image of a 123I-FP-CIT SPECT scan, and 2) Enhancing low-dose bone scintigraphy image restoration using GAN. We look forward to seeing you there.