AI-based approaches in the daily practice of abdominal imaging

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AI solutions in radiology have expanded significantly, but their clinical implementation, especially in abdominal imaging, has been slow and disappointing.
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Only 4% of AI applications are dedicated to abdominal imaging, with most focused on automated organ volumetry and disease detection.
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Challenges in adopting AI in abdominal imaging include narrow task focus, integration difficulties, and a lack of transparency in AI tools.
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Non-interpretive AI solutions are improving diagnostic image quality in abdominal imaging, but comprehensive diagnostic tools are still needed.
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Collaboration between radiologists and AI experts is essential for developing effective AI tools that support, rather than replace, radiologists.

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