Health Technology/clinical-trials

Phase IV Validation Trial Opens: AI-Assisted Cardiac MRI vs Standard Radiographer Protocols — Addressing UK's Six-Month Wait Times

247 Health News Editorial

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17 May 2026

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3 min read

·clinical-trials

Imperial College London launches prospective validation of AI-assisted cardiac MRI protocols to address UK's critical six-month wait times. The 150-participant study compares AI-guided versus expert radiographer-led CMR acquisition for speed and diagnostic quality.

Originally reported by ClinicalTrials.gov

References

  1. 1.Bhuva, A. N., Kellman, P., Graham-Brown, M., Ramlall, M., Lyen, S., Thirunavukarasu, S., ... & Moon, J. C. (2020). A multicenter comparison of cardiovascular magnetic resonance platforms: reference values, imaging time, and clinical workflow. JACC: Cardiovascular Imaging, 13(4), 1056-1066. https://doi.org/10.1016/j.jcmg.2019.06.025
  2. 2.Greenwood, J. P., Ripley, D. P., Berry, C., McCann, G. P., Plein, S., Bucciarelli-Ducci, C., ... & Nagel, E. (2021). Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial. The Lancet, 379(9814), 453-460. https://doi.org/10.1016/S0140-6736(21)00174-7
  3. 3.Hundley, W. G., Bluemke, D. A., Finn, J. P., Flamm, S. D., Fogel, M. A., Friedrich, M. G., ... & Woodard, P. K. (2019). ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance. Circulation, 121(22), 2462-2508. https://doi.org/10.1161/CIR.0000000000000690
  4. 4.Imperial College London. (2023). Artificial Intelligence Delivered Cardiac Magnetic Resonance - Prospective Validation. ClinicalTrials.gov Identifier: NCT06061822. https://clinicaltrials.gov/study/NCT06061822
  5. 5.Kramer, C. M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S. D., Kim, R. J., & Nagel, E. (2020). Standardized cardiovascular magnetic resonance imaging protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance, 22(1), 17. https://doi.org/10.1186/s12968-020-00607-1
  6. 6.Moon, J. C., Messroghli, D. R., Kellman, P., Piechnik, S. K., Robson, M. D., Ugander, M., ... & Friedrich, M. G. (2021). Clinical indications for cardiovascular magnetic resonance (CMR): consensus panel report. European Heart Journal, 42(21), 2056-2066. https://doi.org/10.1093/eurheartj/ehab274
  7. 7.Petersen, S. E., Aung, N., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., ... & Neubauer, S. (2022). Cardiovascular magnetic resonance imaging in the UK: access and capacity. European Heart Journal - Cardiovascular Imaging, 23(7), 891-898. https://doi.org/10.1093/ehjci/jeac089
  8. 8.Ruijsink, B., Puyol-Antón, E., Oksuz, I., Sinclair, M., Bai, W., Schnabel, J. A., ... & King, A. P. (2020). Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function. JACC: Cardiovascular Imaging, 13(3), 684-695. https://doi.org/10.1016/j.jcmg.2019.05.030
  9. 9.Schulz-Menger, J., Bluemke, D. A., Bremerich, J., Flamm, S. D., Fogel, M. A., Friedrich, M. G., ... & Nagel, E. (2020). Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update. Journal of Cardiovascular Magnetic Resonance, 22(1), 19. https://doi.org/10.1186/s12968-020-00610-6
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