Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
461-02-001 ISMRM Abstract

Patient-tailored Protocol Prescription using Physics-informed Large Language Model Agents

Primary: Acquisition & Reconstruction - AI methods
Secondary: Analysis Methods - Software Tools
461-02-001 · AI To Make Protocols, Plan, QC, and Correct Motion · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row B
Keywords: Large Language Models AI-assisted radiology Exam Personalization
Accepted
Anuj Sharma 1, William A Grissom1, Mark Griswold1,2
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States of America
2Department of Radiology, University Hospitals, Cleveland, United States of America
Presenting Author: Anuj Sharma

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. S Gyftopoulos, D Kim, E Aaltonen, LI Horwitz. Patient recall imaging in the ambulatory setting. American Journal of Roentgenology, 206(4):787–791, 2016. doi:10.2214/AJR.15.15268. [doi]
2. A Sharma, W A Grissom, M A Griswold. Designing MR exams using an autonomous multi-agent large language model system. In Proceedings Annual Meeting, ISMRM Hawaii, page 3376, 2025.
3. A E W Johnson, L Bulgarelli, L Shen et al. MIMIC-IV, a freely accessible electronic health record dataset. Sci Data 10(1), 2023. https://doi.org/10.1038/s41597-022-01899-x. [doi]
4. C Harrison. LangChain. Version 0.2.16. https://github.com/langchain-ai/langchain
5. X Hou, et al. Model context protocol (MCP): Landscape, security threats, and future research directions. arXiv preprint arXiv:2503.23278, 2025.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/461-02-001