Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development - Archive ouverte HAL Access content directly
Journal Articles Journal of Nuclear Medicine Year : 2021

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

(1) , (2) , (3) , (4) , (5) , (6) , (7) , (8) , (9) , (10) , (11) , (12) , (4) , (13) , (14) , (15) , (16, 17)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17

Abstract

The nuclear medicine field has seen a rapid expansion of academic and commercial interests 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 for technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations followed by descriptions on 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.
Embargoed file
Embargoed file
Ne sera jamais visible

Dates and versions

inserm-03441110 , version 1 (22-11-2021)

Identifiers

Cite

Tyler J Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav K Jha, Paul Jacobs, et al.. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. Journal of Nuclear Medicine, 2021, 63 (4), pp.500-510. ⟨10.2967/jnumed.121.262567⟩. ⟨inserm-03441110⟩
68 View
33 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More