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Artificial Intelligence and Its Impact on Radiology: Summary of the 2024 Intersociety Summer Conference
Michael A Bruno1, Lars Grimm2, Laeton J Pang3
1Vice Chair for Quality and Safety and Chief, Section of Emergency Radiology, Department of Radiology, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania.
Journal of the American College of Radiology : JACR
|August 3, 2025
Summary
The 2024 ACR Intersociety Summer Conference discussed artificial intelligence (AI) in radiology. Key takeaways include the need for clear metrics, flexible regulations, and IT upgrades for safe AI adoption.
Area of Science:
- Radiology
- Medical Informatics
- Health Policy
Background:
- The practice of radiology is rapidly evolving.
- Artificial intelligence (AI) presents significant opportunities and challenges for healthcare.
- The American College of Radiology (ACR) convenes key stakeholders to address emerging trends.
Purpose of the Study:
- To discuss the anticipated future impacts of artificial intelligence on radiology practice.
- To identify critical factors for the safe and scalable adoption of AI in radiology.
- To proactively address potential legal and economic implications of AI in the field.
Main Methods:
- Convening the 2024 ACR Intersociety Summer Conference.
- Bringing together representatives from 27 diverse medical societies.
- Facilitating discussions on artificial intelligence in radiology.
Main Results:
- Identified the necessity for transparent performance metrics for AI tools.
- Highlighted the need for adaptive regulatory frameworks to govern AI implementation.
- Emphasized the requirement for fundamental changes in enterprise-wide IT infrastructure.
- Recognized the importance of proactively addressing legal and economic impacts.
Conclusions:
- Safe and scalable adoption of artificial intelligence in radiology requires a multi-faceted approach.
- Transparent metrics, adaptive regulation, and robust IT infrastructure are crucial.
- Proactive consideration of legal and economic factors is essential for successful AI integration.
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