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Practical applications of AI in body imaging.
Benjamin M Mervak1, Jessica G Fried1, Julian Neshewat1
1University of Michigan-Ann Arbor, Ann Arbor, USA.
Abdominal Radiology (New York)
|June 27, 2025
Summary
Artificial intelligence (AI) algorithms are transforming radiology, offering enhanced accuracy and efficiency for abdominopelvic imaging. This review covers FDA-cleared AI tools available in late 2024, highlighting their benefits and future potential.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Abdominopelvic Diagnostics
Background:
- Artificial intelligence (AI) and deep learning are rapidly evolving fields impacting medical diagnostics.
- Radiology is increasingly adopting AI to improve diagnostic accuracy and workflow efficiency.
- Abdominopelvic imaging presents significant opportunities for AI-driven advancements.
Purpose of the Study:
- To provide a narrative review of FDA-cleared AI algorithms for abdominopelvic imaging.
- To assess commercially available AI tools in the United States as of late 2024.
- To evaluate the advantages of AI in abdominopelvic radiology and suggest future research directions.
Main Methods:
- Literature review of FDA-cleared AI algorithms.
- Focus on AI tools for abdominopelvic organs and related diseases.
- Analysis of AI's commercial availability and potential benefits.
Main Results:
- Identification of currently available FDA-cleared AI algorithms for abdominopelvic assessment.
- Evaluation of AI's role in enhancing diagnostic accuracy and automating tasks.
- Discussion of the practical advantages and limitations of AI implementation.
Conclusions:
- AI algorithms are poised to significantly impact abdominopelvic radiology.
- Commercial availability of FDA-cleared AI tools is expanding.
- Further research and development are needed to optimize AI's future in medical imaging.
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