Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters

Area of Science:

• Medical Artificial Intelligence
• Machine Learning in Healthcare
• Clinical Decision Support Systems

Background:

• Machine learning (ML) shows promise for AI-powered medical decision support, especially in digital imaging.
• Real-world validation of medical AI systems is challenging, termed the "last mile of implementation."
• This implementation gap stems from two main chasms: human trust and machine experience.

Purpose of the Study:

• To review the concept of the

Main Methods:

• Literature review focusing on the

Main Results:

• The

Conclusions:

• Bridging the