Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [(18)F]FDG PET/CT—a Retrospective Study

PURPOSE: Classification of focal skeleton/bone marrow uptake (BMU) can be challenging. The aim is to investigate whether an artificial intelligence–based method (AI), which highlights suspicious focal BMU, increases interobserver agreement among a group of physicians from different hospitals classif...

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Detalles Bibliográficos
Autores principales: Sadik, May, López-Urdaneta, Jesús, Ulén, Johannes, Enqvist, Olof, Andersson, Per-Ola, Kumar, Rajender, Trägårdh, Elin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043120/
https://www.ncbi.nlm.nih.gov/pubmed/36998589
http://dx.doi.org/10.1007/s13139-022-00765-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043120/
https://www.ncbi.nlm.nih.gov/pubmed/36998589
http://dx.doi.org/10.1007/s13139-022-00765-3

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