Synopsis

Keywords: Image acquisition: Reconstruction, Image acquisition: Machine learning

This talk will briefly review the technical mechanics of artificial intelligence (AI) and discuss – focusing on musculoskeletal (MSK) imaging – both how AI technically enables faster MRI exams, including how these tools can be integrated into routine clinical practice. This will include coverage of incorporation of AI tools into the end-to-end Radiology digital framework, review of commercial AI reconstruction offerings, and discussion about practical considerations for incorporation tools into routine clinical practice.

Summary (<250 characters)
This talk will briefly review the technical mechanics of artificial intelligence (AI) and discuss – focusing on musculoskeletal (MSK) imaging – both how AI technically enables faster MRI exams, including how these tools can be integrated into routine clinical practice.

Target Audience
Clinicians and scientists who are interested in obtaining a basic technical understanding of artificial intelligence (AI) and machine learning (ML) technologies, and how they can be applied for different tasks and applications in musculoskeletal (MSK) MRI.


Synopsis (<100 words)
This talk will briefly review the technical mechanics of artificial intelligence (AI) and discuss – focusing on musculoskeletal (MSK) imaging – both how AI technically enables faster MRI exams, including how these tools can be integrated into routine clinical practice. This will include coverage of incorporation of AI tools into the end-to-end Radiology digital framework, review of commercial AI reconstruction offerings, and discussion about practical considerations for incorporation tools into routine clinical practice.

Syllabus
This lecture will briefly cover the following topics:
· Introduction to Artificial Intelligence technologies including machine learning (ML) and deep learning (DL), and discussion of how these relate to traditional data processing and analysis tools.
· Overview of applications and opportunities for incorporating AI/ML tools into the Radiology data pipeline
· Review of MR Image Reconstruction mechanics
· How AI-based reconstruction methods work
· Current vendor AI reconstruction offerings
· Approaches to incorporating AI methods into routine clinical practice
· Caveats and considerations about adapting clinical protocols for AI tools
· Emerging directions of AI/ML technologies for fast MRI


Takeaway Messages
Following this lecture, participants should be able to:
· Describe how AI methods integrate with traditional image reconstruction technologies
· Provide several ways AI tools can be incorporated into existing clinical protocols
· Dictate specific caveats to be aware of when first utilizing AI reconstruction tools in practice

Acknowledgements

No acknowledgement found.

References

No reference found.