Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol.
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| Title: | Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol. |
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| Authors: | Coulibaly D; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada., Bayani A; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada., Sylla B; Université de Bordeaux, Talence, France., Motulsky A; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Research Center, Centre hospitalier de l'Université de Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada., Nikiema JN; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada jean.nikiema@umontreal.ca.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada., Bosson-Rieutort D; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada. |
| Source: | BMJ open [BMJ Open] 2025 Feb 18; Vol. 15 (2), pp. e094908. Date of Electronic Publication: 2025 Feb 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39965945 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Coulibaly+D%22">Coulibaly D</searchLink>; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Bayani+A%22">Bayani A</searchLink>; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Sylla+B%22">Sylla B</searchLink>; Université de Bordeaux, Talence, France.<br /><searchLink fieldCode="AU" term="%22Motulsky+A%22">Motulsky A</searchLink>; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.; Research Center, Centre hospitalier de l'Université de Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Nikiema+JN%22">Nikiema JN</searchLink>; Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada jean.nikiema@umontreal.ca.; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada.<br /><searchLink fieldCode="AU" term="%22Bosson-Rieutort+D%22">Bosson-Rieutort D</searchLink>; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.; Department of Health Management, Evaluation and Policy, Université de Montréal, Montreal, Québec, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101552874%22">BMJ open</searchLink> [BMJ Open] 2025 Feb 18; Vol. 15 (2), pp. e094908. <i>Date of Electronic Publication: </i>2025 Feb 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BMJ+Publishing+Group+Ltd%22">BMJ Publishing Group Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101552874 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2044-6055 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220446055%22">20446055 </searchLink><i>NLM ISO Abbreviation: </i>BMJ Open <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39965945 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1136/bmjopen-2024-094908 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e094908 Titles: – TitleFull: Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Coulibaly D – PersonEntity: Name: NameFull: Bayani A – PersonEntity: Name: NameFull: Sylla B – PersonEntity: Name: NameFull: Motulsky A – PersonEntity: Name: NameFull: Nikiema JN – PersonEntity: Name: NameFull: Bosson-Rieutort D IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 02 Text: 2025 Feb 18 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2044-6055 Numbering: – Type: volume Value: 15 – Type: issue Value: 2 Titles: – TitleFull: BMJ open Type: main |
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