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Updated: Jun 4, 2025

Author Spotlight: Point-of-Care Ultrasound for Gastric Content Assessment and Risk Stratification in Perioperative Care
Published on: September 22, 2023
Increasing Adherence to Societal Recommendations in Radiology Reporting: A Feasibility Study Using Society of
Vamshi K Mugu1, Brendan M Carr2, Mike C Olson1
1Department of Radiology.
A new AI tool accurately incorporates gallbladder polyp guidelines into radiology reports, improving patient follow-up consistency. This technology aims to standardize care for incidental findings in diagnostic imaging.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Clinical Decision Support Systems
Background:
- Incidental findings in diagnostic imaging, such as gallbladder polyps, frequently occur.
- Current management of these findings lacks consistent adherence to established guidelines, complicating clinical follow-up.
- The Society of Radiologists in Ultrasound (SRU) developed guidelines in 2021 to standardize gallbladder polyp management.
Purpose of the Study:
- To evaluate the feasibility of a Large Language Model (LLM)-based tool for integrating SRU guidelines into radiology reports.
- To propose a framework for seamless incorporation of clinical follow-up recommendations into radiology reporting.
- To enhance the consistency and accuracy of patient management for incidental gallbladder findings.
Main Methods:
- Retrospective review of adult gallbladder ultrasound examinations from 2022.
- Development of an interactive LLM tool (GB-PRL) using retriever-augmented generation (RAG) and prompt engineering based on 2021 SRU guidelines.
- Accuracy assessment by a radiologist and clarity/consistency evaluation by an emergency medicine physician.
Main Results:
- The GB-PRL tool achieved 100% accuracy in risk categorization and follow-up recommendations for hypothetical cases, outperforming other LLMs.
- GB-PRL demonstrated statistically superior accuracy compared to existing radiology reports for retrospective data (P = 0.04).
- While GB-PRL showed improved clarity and consistency, the difference was not statistically significant (P = 0.22).
Conclusions:
- The developed LLM tool shows high accuracy and feasibility for integrating clinical guidelines into radiology reports.
- This approach has the potential to improve consistency in managing incidental gallbladder findings.
- Further prospective validation is required before widespread clinical implementation of the GB-PRL tool.
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