RT Journal Article
SR Electronic
T1 Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
JF Journal of Nuclear Medicine
JO J Nucl Med
FD Society of Nuclear Medicine
SP 500
OP 510
DO 10.2967/jnumed.121.262567
VO 63
IS 4
A1 Bradshaw, Tyler J.
A1 Boellaard, Ronald
A1 Dutta, Joyita
A1 Jha, Abhinav K.
A1 Jacobs, Paul
A1 Li, Quanzheng
A1 Liu, Chi
A1 Sitek, Arkadiusz
A1 Saboury, Babak
A1 Scott, Peter J.H.
A1 Slomka, Piotr J.
A1 Sunderland, John J.
A1 Wahl, Richard L.
A1 Yousefirizi, Fereshteh
A1 Zuehlsdorff, Sven
A1 Rahmim, Arman
A1 Buvat, Irène
YR 2022
UL http://jnm.snmjournals.org/content/63/4/500.abstract
AB The nuclear medicine field has seen a rapid expansion of academic and commercial interest in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of the pitfalls of AI by recognizing and following best practices in AI algorithm development. In this article, recommendations on technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations and then continuing with descriptions of how one might practice these principles for specific topics within nuclear medicine. This report was produced by the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging.