Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as
it will in everyday life. In this review, we focus on the potential applications of AI in the field …

Chat Generative Pre-Trained Transformer (ChatGPT, San Francisco, OpenAI) is an artificial
intelligence conversational large-language model (LLM) tool available in more than 90 …

Purpose Current methods for patient‐specific voxel‐level dosimetry in radionuclide therapy
suffer from a trade‐off between accuracy and computational efficiency. Monte Carlo (MC) …

The detection of occult infections and low-grade inflammation in clinical practice remains
challenging and much depending on readers' expertise. Although molecular imaging, like …

Abstract Background The field of Artificial Intelligence (AI) holds transformative potential in
medicine. However, the lack of universal reporting guidelines poses challenges in ensuring …

In the field of medicine, there is a need to filter data to find information that is relevant for
specific research problems. However, in the realm of scientific study, the process of selecting …

Lung cancer is the second most diagnosed malignancy according to the American Cancer
Society, accounting for 228,820 new cases and 135,720 deaths in the United States in 2020 …

The aim of our study was to predict the occurrence of distant metastases in non-small-cell
lung cancer (NSCLC) patients using machine learning methods and texture analysis of 18F …

Thyroid cancer, specifically differentiated thyroid carcinoma (DTC), is one of the most
prevalent endocrine malignancies worldwide. Radioactive iodine therapy (RAIT) using I-131 …

Artificial intelligence (AI) in medical imaging is in its infancy. However, ongoing advances in
hardware and software as well as increasing access to ever-expanding datasets for training …