Skip to main content
Have a personal or library account? Click to login
New Diagnostic Tools for Pulmonary Embolism Detection Cover

New Diagnostic Tools for Pulmonary Embolism Detection

Open Access
|May 2024

References

  1. Rali PM, Criner GJ. Submassive pulmonary embolism. Am J Respir Crit Care Med. 2018 Sep 1;198(5):588-598. doi: 10.1164/rccm.201711-2302CI
  2. Goldhaber SZ, Bounameaux H. Pulmonary embolism and deep vein thrombosis. Lancet. 2012 May 23;379(9828):1835-46. doi: 10.1016/S0140-6736(11)61904-1
  3. Konstantinides SV, Meyer G, Becattini C, et al. 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS). Eur Heart J. 2020 Jan 21;41(4):543-603. doi: 10.1093/eurheartj/ehz405
  4. Grenier PA, Ayobi A, Quenet S, et al. Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms. Diagnostics. 2023 Apr 3;13(7):1324. doi: 10.3390/diagnostics13071324
  5. Soh S, Kim JM, Park JH, Koh SO, Na S. Delayed anticoagulation is associated with poor outcomes in high-risk acute pulmonary embolism. J Crit Care. 2016 Apr;32:21-5. doi: 10.1016/j.jcrc.2015.11.024
  6. Aung YYM, Wong DCS, Ting DSW. The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. Br Med Bull. 2021 Sep 10;139(1):4-15. doi: 10.1093/bmb/ldab016
  7. Cheikh AB, Gorincour G, Nivet H, et al. How artificial intelligence improves radiological interpretation in suspected pulmonary embolism. Eur Radiol. 2022 Sep;32(9):5831-5842. doi: 10.1007/s00330-022-08645-2
  8. Saver J. Time is brain-quantified. Stroke. 2006 Jan;37(1):263-6. doi: 10.1161/01.STR.0000196957.55928.ab
  9. Hassan AE, Ringheanu VM, Preston L, Tekle WG. Artificial Intelligence–Parallel Stroke Workflow Tool Improves Reperfusion Rates and Door-In to Puncture Interval. Stroke: Vasc Interven Neurol. 2022 Sep 7;2(5):e000224. doi: 10.1161/SVIN.121.000224
  10. Hassan AE, Ringheanu VM, Rabah RR, Preston L, Wondwossen GT, Qureshi AI. Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model. Interv Neuroradiol. 2020 Oct;26(5):615-622. doi: 10.1177/1591019920953055
  11. Morey JR, Fiano E, Yaeger KA, Zhang X, Fifi JT. Impact of Viz LVO on Time-to-Treatment and Clinical Outcomes in Large Vessel Occlusion Stroke Patients Presenting to Primary Stroke Centers. MedRxiv.org [Internet]. Cold Springs Harbor, NY: Cold Spring Harbor Laboratory; c2024. 2020 Jul 5 [cited 2024 Apr 10]. DOI: 10.1101/2020.07.02.20143834
  12. Petry M, Lansky C, Chodakiewitz Y, Maya M, Pressman B. Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System. Radiol Res Pract. 2022 Aug 18;2022:2141839. doi: 10.1155/2022/2141839
  13. Filopei J, Acquah SO, Bondarsky EE, et al. Diagnostic Accuracy of Point-of-Care Ultrasound Performed by Pulmonary Critical Care Physicians for Right Ventricle Assessment in Patients With Acute Pulmonary Embolism. Crit Care Med. 2017 Dec;45(12):2040-2045. doi: 10.1097/CCM.0000000000002723
  14. Viz.ai [Internet]. San Francisco, CA: Viz.ai; c2024. Rali PM. Automated PE Clot Detection and RV/LV Ratio Measurement using AI-based Deep Learning Algorithms: A Preliminary Validation Study; 2023 Sep 20–23 [cited 2024 Apr 10]. Available from: https://www.viz.ai/wp-content/uploads/2023/10/Dhanani-et-al_2023-PE-Clinical-Summary.pdf
  15. Shapiro J, Reichard A, Chowdhry S. The Use of Artificial Intelligence Technology in the Detection and Treatment of Pulmonary Embolism at a Tertiary Referral Center. J Vasc Surg. 2023 Sep;78(3):e23. doi: 10.1016/j.jvs.2023.06.040
  16. Gulati M, Levy PD, Mukherjee D, et al. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2021 Nov 30;144(22):e454. doi: 10.1161/CIR.0000000000001029
  17. Powers WJ, Rabinstein AA, Ackerson T, et al. Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke. 2019 Dec;50(12):e344-e418. doi: 10.1161/STR.0000000000000211
  18. Rosenfield K, Muck PE. Artificial Intelligence and Acute Pulmonary Embolism. Endovasc Today. 2023 Jul;22(7 Sup):23-30.
  19. Viz.ai [Internet]. San Francisco, CA: Viz.ai; c2024. Muck PE, et al. Shorter Time to Assessment and Anticoagulation with Decreased Mortality in Patients with Pulmonary Embolism Following Implementation of Artificial Intelligence Software; 2024 [cited 2024 Apr 10]. Available from: https://www.viz.ai/publications/shorter-time-to-assessment-and-anticoagulation-with-decreased-mortality-in-patients-with-pulmonary-embolism-following-implementation-of-artificial-intelligence-software
DOI: https://doi.org/10.14797/mdcvj.1342 | Journal eISSN: 1947-6108
Language: English
Page range: 5 - 12
Submitted on: Jan 13, 2024
Accepted on: Apr 11, 2024
Published on: May 16, 2024
Published by: Houston Methodist DeBakey Heart & Vascular Center
In partnership with: Paradigm Publishing Services

© 2024 Jacob Shapiro, Adam Reichard, Patrick E. Muck, published by Houston Methodist DeBakey Heart & Vascular Center
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.