Artificial Intelligence in Nuclear Medicine, a black box?

Abstract

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 expectations on the one hand and unfounded fears on the other. In this review, we provide a conceptual classification and a brief summary of the technical fundamentals of AI. Possible applications are discussed on the basis of a typical work flow in medical imaging, grouped by planning, scanning, interpretation, and reporting.



The main limitations of current AI techniques, such as issues with interpretability or the need for large amounts of annotated data, are briefly addressed. Finally, we highlight the possible impact of AI on the nuclear medicine profession, the associated challenges and, last but not least, the opportunities.

Keywords: artificial intelligence; deep learning; machine learning; medical imaging; nuclear medicine.








Log in

We use cookies

Wij gebruiken cookies op onze web site. Sommigen zijn essentieel voor het correct functioneren van de site, terwijl anderen ons helpen om de site en gebruikerservaring te verbeteren (tracking cookies). U kan zelf kiezen of u deze cookies wil toestaan of niet. Let op dat als u onze cookies weigert mogelijk niet alle functies van de site beschikbaar zijn.