Uribe, Carlos F.Mathotaarachchi, SulanthaGaudet, Vincent C.Smith, Kenneth C.Rosa-Neto, PedroBenard, FrancoisBlack, Sandra E.Zukotynski, Katherine2023-11-032023-11-032019-04https://doi.org/10.2967/jnumed.118.223495http://hdl.handle.net/10012/20085This research was originally published in JNM. Uribe, C.F., Mathotaarachchi, S., Gaudet, V., Smith, K.C, Rosa-Neto, P., Benard, F., Black, S.E. & Zukotynski, K. Machine Learning in Nuclear Medicine: Part 1 - Introduction. J Nucl Med. 2019;60:451-458. © SNMMI.This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nuclear medicine. Part 2 focuses on current contributions of ML to our field, addresses future expectations and limitations, and provides a critical appraisal of what ML can and cannot do.enmachine learningartificial intelligencenuclear medicinealgorithmsArticle