This paper presents a novel and comprehensive framework for responsible AI development, evaluation, and deployment in healthcare, encompassing four key phases:
- AI Solution Design and Development
- AI Solution Qualification
- AI Solution Efficacy and Safety Evaluation
- AI Solution Impact.
The proposed framework emphasizes both the technical and clinical aspects of AI development while underscoring the importance of ethical considerations, patient safety, and health equity.
This structured approach fosters collaboration and mitigates risks in the hopes of helping AI achieve its full potential in improving patient outcomes and healthcare efficiency.
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