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

16 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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Editorial
Comment

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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)",

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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

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U2 - 10.1148/radiol.2019192425

DO - 10.1148/radiol.2019192425

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ER -

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

Bibliographical note

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UN SDGs

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