Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality

Jerry W. Froelich; Ali Salavati

doi:10.1148/radiol.2019192425

Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality

Jerry W. Froelich
, Ali Salavati

Radiology

Research output: Contribution to journal › Comment/debate › peer-review

26 Scopus citations

Original language	English (US)
Pages (from-to)	453-454
Number of pages	2
Journal	Radiology
Volume	294
Issue number	2
DOIs	https://doi.org/10.1148/radiol.2019192425
State	Published - 2020

Bibliographical note

Funding Information:
ticle: disclosed no relevant relationships. Activities not related to the present article: disclosed money to author’s institution for a grant from Siemens Healthineers. Other relationships: disclosed no relevant relationships. A.S. Activities related to the present article: disclosed money to author’s institution for a grant from the RSNA Research & Education Foundation. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships.

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@article{3dbe88a97b8e47aead71b698522417d8,

title = "Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality",

author = "Froelich, \{Jerry W.\} and Ali Salavati",

note = "Funding Information: ticle: disclosed no relevant relationships. Activities not related to the present article: disclosed money to author{\textquoteright}s institution for a grant from Siemens Healthineers. Other relationships: disclosed no relevant relationships. A.S. Activities related to the present article: disclosed money to author{\textquoteright}s institution for a grant from the RSNA Research \& Education Foundation. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships.",

year = "2020",

doi = "10.1148/radiol.2019192425",

language = "English (US)",

volume = "294",

pages = "453--454",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

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TY - JOUR

T1 - Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality

AU - Froelich, Jerry W.

AU - Salavati, Ali

N1 - Funding Information: ticle: disclosed no relevant relationships. Activities not related to the present article: disclosed money to author’s institution for a grant from Siemens Healthineers. Other relationships: disclosed no relevant relationships. A.S. Activities related to the present article: disclosed money to author’s institution for a grant from the RSNA Research & Education Foundation. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships.

PY - 2020

Y1 - 2020

UR - https://www.scopus.com/pages/publications/85078525821

UR - https://www.scopus.com/pages/publications/85078525821#tab=citedBy

U2 - 10.1148/radiol.2019192425

DO - 10.1148/radiol.2019192425

M3 - Comment/debate

C2 - 31825291

AN - SCOPUS:85078525821

SN - 0033-8419

VL - 294

SP - 453

EP - 454

JO - Radiology

JF - Radiology

IS - 2

ER -

Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality

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