The Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework

Area of Science:

• Orthopaedic Surgery
• Artificial Intelligence
• Clinical Implementation Science

Background:

• Numerous artificial intelligence (AI) algorithms exist for trauma and orthopaedic applications.
• A significant barrier to clinical adoption is the lack of a defined pathway from AI development to practical use.
• This gap hinders the translation of AI innovations into routine patient care.

Purpose of the Study:

• To introduce a structured framework for integrating AI into clinical practice within trauma and orthopaedics.
• To provide a clear pathway for the development and deployment of AI tools in this specialty.
• To enhance trust and facilitate the adoption of AI by clinical teams.

Main Methods:

• Development of the Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework.
• The framework is a five-stage approach based on the IDEAL principles.
• Designed to guide AI adoption specifically in trauma and orthopaedic settings.

Main Results:

• The CPI-AI framework offers a systematic method for AI integration.
• It addresses the challenge of deploying AI algorithms that may not be fully understood by clinicians.
• Promotes an evidence-based approach to build trust in AI applications.

Conclusions:

• The CPI-AI framework provides a robust pathway for AI adoption in trauma and orthopaedics.
• Adherence to the framework can foster trust and facilitate the clinical use of AI.
• This structured approach is crucial for realizing the potential of AI in orthopaedic patient care.