PT  - JOURNAL ARTICLE
AU  - Felix Nensa
AU  - Aydin Demircioglu
AU  - Christoph Rischpler
TI  - Artificial Intelligence in Nuclear Medicine
AID  - 10.2967/jnumed.118.220590
DP  - 2019 Sep 01
TA  - Journal of Nuclear Medicine
PG  - 29S--37S
VI  - 60
IP  - Supplement 2
4099  - http://jnm.snmjournals.org/content/60/Supplement_2/29S.short
4100  - http://jnm.snmjournals.org/content/60/Supplement_2/29S.full
SO  - J Nucl Med2019 Sep 01; 60
AB  - 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.