Nuclear Medicine

Nuclear medicine leverages radioactive tracers to image and quantify biological processes, with a current research focus on improving diagnostic accuracy and efficiency through artificial intelligence. This involves applying deep learning models, such as convolutional neural networks (CNNs) and transformer-based language models, to analyze images (e.g., PET, SPECT, CT) and textual reports, often incorporating multimodal approaches combining image and text data. These advancements aim to enhance the speed and accuracy of disease detection, treatment planning, and overall patient care, while addressing challenges in data standardization and objective performance evaluation.