Surgical scene understanding and the structural validation gap in an industry-led AI ecosystem.
| Publicado en: | NPJ Digital Medicine Vol. 9; no. 1; pp. 1 - 3 |
|---|---|
| Autores principales: | , |
| Formato: | commentary tables/charts Journal Article |
| Publicado: |
Springer Nature
8/10/2026
|
| 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=196062212&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196062212 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 8/10/2026 vid: 9 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 196062212 196062212 196062212 10.1038/s41746-026-03029-y 196062212 ppf: 1 ppct: 2 formats: tig: atl: Surgical scene understanding and the structural validation gap in an industry-led AI ecosystem. aug: au: MacAonghusa, Pol Cahill, Ronan A. affil: https://ror.org/05m7pjf47 UCD Centre for Precision Surgery, University College Dublin, Dublin, Ireland sug: subj: Surgery, Laparoscopic Videorecording Data Curation Artificial Intelligence Minimally Invasive Procedures Workflow Decision Support Systems, Clinical Implementation Science Patient Safety pubtype: Academic Journal doctype: commentary tables/charts Journal Article ougenre: Unknown ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|