Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications

With rapidly evolving artificial intelligence solutions, healthcare organizations need an implementation roadmap. A “clinical trials” informed approach can promote safe and impactful implementation of artificial intelligence. This framework includes four phases: (1) Safety; (2) Efficacy; (3) Effecti...

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Veröffentlicht in:NPJ digital medicine Jg. 8; H. 1; S. 107 - 5
Hauptverfasser: You, Jacqueline G., Hernandez-Boussard, Tina, Pfeffer, Michael A., Landman, Adam, Mishuris, Rebecca G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 17.02.2025
Nature Publishing Group
Nature Portfolio
Schlagworte:
631/114/1305
631/114/2397
631/114/2413
692/308/409
706/703/559
Artificial intelligence
Biomedicine
Biotechnology
Clinical medicine
Clinical trials
Collaboration
Electronic health records
Ethics
FDA approval
Informatics
Medical equipment
Medicine
Medicine & Public Health
Patient safety
Perspective
Standard of care
ISSN:2398-6352, 2398-6352
Online-Zugang:Volltext
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Zusammenfassung:With rapidly evolving artificial intelligence solutions, healthcare organizations need an implementation roadmap. A “clinical trials” informed approach can promote safe and impactful implementation of artificial intelligence. This framework includes four phases: (1) Safety; (2) Efficacy; (3) Effectiveness and comparison to an existing standard; and (4) Monitoring. Combined with inter-institutional collaboration and national funding support, this approach will advance safe, usable, effective, and equitable deployments of artificial intelligence in healthcare.
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ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-025-01506-4