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2020 ACR Data Science Institute Artificial Intelligence Survey.
Bibb Allen1, Sheela Agarwal2, Laura Coombs3
1Chief Medical Officer ACR Data Science Institute, Department of Radiology, Grandview Medical Center, Birmingham, Alabama.
Journal of the American College of Radiology : JACR
|April 23, 2021
Summary
Approximately 30% of radiologists use artificial intelligence (AI) in practice, primarily for image interpretation. This initial survey establishes a baseline for AI adoption trends in radiology, with 20% of non-users planning future AI tool purchases.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- The ACR Data Science Institute initiated its first annual survey to gauge artificial intelligence (AI) adoption among its members.
- Understanding current AI utilization provides a crucial baseline for tracking future trends in radiological practice.
Purpose of the Study:
- To assess the current adoption and application of artificial intelligence (AI) in clinical radiology.
- To establish a foundational dataset for monitoring the evolving use of AI in medical imaging over time.
Main Methods:
- An electronic survey was distributed to all ACR members to collect practice demographics and AI usage details.
- Radiologists reported on their current AI implementation, performance evaluations, and future needs for AI tools.
Main Results:
- Around 30% of surveyed radiologists currently employ AI in their practice.
- Larger practices showed higher AI adoption rates. AI was predominantly used for enhancing interpretation, particularly for detecting intracranial hemorrhage, pulmonary emboli, and mammographic abnormalities.
- 20% of practices not currently using AI intend to acquire AI tools within the next 1-5 years.
Conclusions:
- The survey reveals a moderate level of AI integration into current radiological workflows.
- Findings will guide the development of AI tools to improve the quality, efficiency, and overall practice of radiology and patient care.
