Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model.
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| Title: | Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. |
|---|---|
| Authors: | Varghese C; Department of Surgery, University of Auckland, Auckland, New Zealand. cvar706@aucklanduni.ac.nz.; Department of Surgery, Mayo Clinic, Rochester, MN, USA. cvar706@aucklanduni.ac.nz., Peters L; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia., Gaborit L; Australian National University, Canberra, ACT, Australia., Xu W; Department of Surgery, University of Auckland, Auckland, New Zealand., Kalyanasundaram K; University of Adelaide, Adelaide, SA, Australia., Basam A; Monash University, Melbourne, VIC, Australia., Park M; Northern Sydney Local Health District, Sydney, NSW, Australia., Wells C; Department of Surgery, University of Auckland, Auckland, New Zealand., McLean KA; Department of Clinical Surgery, University of Edinburgh, Edinburgh, Scotland.; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland., Schamberg G; Department of Surgery, University of Auckland, Auckland, New Zealand., O'Grady G; Department of Surgery, University of Auckland, Auckland, New Zealand., Wright D; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand., Martin J; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia., Harrison E; Department of Clinical Surgery, University of Edinburgh, Edinburgh, Scotland.; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland., Pockney P; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia. |
| Corporate Authors: | TASMAN Collaborative |
| Source: | NPJ digital medicine [NPJ Digit Med] 2026 May 13; Vol. 9 (1). Date of Electronic Publication: 2026 May 13. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42129453 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Varghese+C%22">Varghese C</searchLink>; Department of Surgery, University of Auckland, Auckland, New Zealand. cvar706@aucklanduni.ac.nz.; Department of Surgery, Mayo Clinic, Rochester, MN, USA. cvar706@aucklanduni.ac.nz.<br /><searchLink fieldCode="AU" term="%22Peters+L%22">Peters L</searchLink>; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Gaborit+L%22">Gaborit L</searchLink>; Australian National University, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Xu+W%22">Xu W</searchLink>; Department of Surgery, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Kalyanasundaram+K%22">Kalyanasundaram K</searchLink>; University of Adelaide, Adelaide, SA, Australia.<br /><searchLink fieldCode="AU" term="%22Basam+A%22">Basam A</searchLink>; Monash University, Melbourne, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Park+M%22">Park M</searchLink>; Northern Sydney Local Health District, Sydney, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Wells+C%22">Wells C</searchLink>; Department of Surgery, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22McLean+KA%22">McLean KA</searchLink>; Department of Clinical Surgery, University of Edinburgh, Edinburgh, Scotland.; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.<br /><searchLink fieldCode="AU" term="%22Schamberg+G%22">Schamberg G</searchLink>; Department of Surgery, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22O'Grady+G%22">O'Grady G</searchLink>; Department of Surgery, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Wright+D%22">Wright D</searchLink>; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.<br /><searchLink fieldCode="AU" term="%22Martin+J%22">Martin J</searchLink>; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Harrison+E%22">Harrison E</searchLink>; Department of Clinical Surgery, University of Edinburgh, Edinburgh, Scotland.; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.<br /><searchLink fieldCode="AU" term="%22Pockney+P%22">Pockney P</searchLink>; Department of Surgery, University of Newcastle, Newcastle, NSW, Australia. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22TASMAN+Collaborative%22">TASMAN Collaborative</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2026 May 13; Vol. 9 (1). <i>Date of Electronic Publication: </i>2026 May 13. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101731738 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-6352 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223986352%22">23986352 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Digit Med <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42129453 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41746-026-02749-5 Languages: – Code: eng Text: English Titles: – TitleFull: Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Varghese C – PersonEntity: Name: NameFull: Peters L – PersonEntity: Name: NameFull: Gaborit L – PersonEntity: Name: NameFull: Xu W – PersonEntity: Name: NameFull: Kalyanasundaram K – PersonEntity: Name: NameFull: Basam A – PersonEntity: Name: NameFull: Park M – PersonEntity: Name: NameFull: Wells C – PersonEntity: Name: NameFull: McLean KA – PersonEntity: Name: NameFull: Schamberg G – PersonEntity: Name: NameFull: O'Grady G – PersonEntity: Name: NameFull: Wright D – PersonEntity: Name: NameFull: Martin J – PersonEntity: Name: NameFull: Harrison E – PersonEntity: Name: NameFull: Pockney P IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 05 Text: 2026 May 13 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2398-6352 Numbering: – Type: volume Value: 9 – Type: issue Value: 1 Titles: – TitleFull: NPJ digital medicine Type: main |
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