CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine.
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| Title: | CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine. |
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| Authors: | Shiferaw KB; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Greifswald D-17475, Germany., Balaur I; Luxembourg Centre for Systems Biology, University of Luxembourg, Belvaux L-4367, Luxembourg., Welter D; Luxembourg National Data Service, Esch-sur-Alzette L-4362, Luxembourg., Waltemath D; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Greifswald D-17475, Germany., Zeleke AA; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Greifswald D-17475, Germany. |
| Source: | JAMIA open [JAMIA Open] 2024 Oct 18; Vol. 7 (4), pp. ooae105. Date of Electronic Publication: 2024 Oct 18 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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