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Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications: A Position Paper from the IMIA Technology Assessment & Quality Development in Health Informatics Working Group and the EFMI Working Group for Assessment of Health Information Systems
Objectives : This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surveillance. Method : A narrative review of existing...
Enregistré dans:
| Publié dans: | Yearb Med Inform |
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| Auteurs principaux: | , , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Georg Thieme Verlag KG
2019
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| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6697499/ https://ncbi.nlm.nih.gov/pubmed/31022752 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0039-1677903 |
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