Dozens of articles describing artificial intelligence (AI) developments are submitted to
medical imaging journals every month, including in the nuclear medicine field. Our mission …

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 …

With the growing role of artificial intelligence (AI) in radiology, there is concern over the black-
box nature of modern AI algorithms. Users of AI often have no way of knowing how or why …

Core competencies in molecular imaging and nuclear medicine include imaging with
radioactive isotopes, pattern recognition, image interpretation, and report communication. In …

Despite the great media attention for artificial intelligence (AI), for many health care
professionals the term and the functioning of AI remain a “black box,” leading to exaggerated …

Radiomics, machine learning, and, more generally, artificial intelligence (AI) provide unique
tools to improve the performances of nuclear medicine in all aspects. They may help …

The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task
Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various …

The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …

OBJECTIVE. The purpose of this article is to discuss the problem of interpretability of artificial
intelligence (AI) and highlight the need for continuing scientific discovery using AI algorithms …

An important need exists for strategies to perform rigorous objective clinical-task-based
evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need …