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Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review.

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Title: Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review.
Authors: Guo Y; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Li N; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Song C; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Yang J; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Quan Y; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China., Zhang H; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.
Source: Frontiers in oncology [Front Oncol] 2025 May 08; Vol. 15, pp. 1578991. Date of Electronic Publication: 2025 May 08 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review.
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  Data: <searchLink fieldCode="AU" term="%22Guo+Y%22">Guo Y</searchLink>; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Li+N%22">Li N</searchLink>; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Song+C%22">Song C</searchLink>; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Quan+Y%22">Quan Y</searchLink>; Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Radiology, Faculty of Life Science and Technology & The Affiliated Anning First People's Hospital, Kunming University of Science and Technology, Kunming, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2025 May 08; Vol. 15, pp. 1578991. <i>Date of Electronic Publication: </i>2025 May 08 (<i>Print Publication: </i>2025).
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        Value: 10.3389/fonc.2025.1578991
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              Text: 2025 May 08
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