Practical applications of AI in body imaging.
Artificial intelligence (AI) algorithms and deep learning continue to change the landscape of radiology. New algorithms promise to enhance diagnostic accuracy, improve workflow efficiency, and automate repetitive tasks. This article provides a narrative review of the FDA-cleared AI algorithms which...
| Publicado en: | Abdominal Radiology Vol. 51; no. 1; pp. 458 - 467 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191138683&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191138683 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2366004X JT14 jtl: Abdominal Radiology issn: 2366004X maglogo: N pubinfo: dt: Jan2026 vid: 51 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 191138683 186192421 10.1007/s00261-025-05088-3 191138683 ppf: 458 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Practical applications of AI in body imaging. aug: au: Mervak, Benjamin M. Fried, Jessica G. Neshewat, Julian Wasnik, Ashish P. affil: https://ror.org/00jmfr291 University of Michigan-Ann Arbor, Ann Arbor, USA sug: ab: Artificial intelligence (AI) algorithms and deep learning continue to change the landscape of radiology. New algorithms promise to enhance diagnostic accuracy, improve workflow efficiency, and automate repetitive tasks. This article provides a narrative review of the FDA-cleared AI algorithms which are commercially available in the United States as of late 2024 and targeted toward assessment of abdominopelvic organs and related diseases, evaluates potential advantages of using AI, and suggests future directions for the field. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|