This paper is in the following e-collection/theme issue:

Natural Language Processing (692) Imaging Informatics (193) Stroke (163)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24381, first published .
Automating Stroke Data Extraction From Free-Text Radiology Reports Using Natural Language Processing: Instrument Validation Study

Automating Stroke Data Extraction From Free-Text Radiology Reports Using Natural Language Processing: Instrument Validation Study

Automating Stroke Data Extraction From Free-Text Radiology Reports Using Natural Language Processing: Instrument Validation Study

Authors of this article:

Amy Y X Yu1 Author Orcid Image ;   Zhongyu A Liu1 Author Orcid Image ;   Chloe Pou-Prom2 Author Orcid Image ;   Kaitlyn Lopes1 Author Orcid Image ;   Moira K Kapral3 Author Orcid Image ;   Richard I Aviv4 Author Orcid Image ;   Muhammad Mamdani5 Author Orcid Image
Article Authors Cited by (11) Tweetations (17) Metrics

Journals

  1. Gunter D, Puac-Polanco P, Miguel O, Thornhill R, Yu A, Liu Z, Mamdani M, Pou-Prom C, Aviv R. Rule-based natural language processing for automation of stroke data extraction: a validation study. Neuroradiology 2022;64(12):2357 View
  2. Cadilhac D, Bravata D, Bettger J, Mikulik R, Norrving B, Uvere E, Owolabi M, Ranta A, Kilkenny M. Stroke Learning Health Systems: A Topical Narrative Review With Case Examples. Stroke 2023;54(4):1148 View
  3. Hsu E, Bako A, Potter T, Pan A, Britz G, Tannous J, Vahidy F. Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation. JMIR AI 2023;2:e42884 View
  4. Siddiqui Z, Bhatia K, Corbin A, Dhar R. Rules-based natural language processing to extract features of large vessel occlusion and cerebral edema from radiology reports in stroke patients. Neuroscience Informatics 2023;3(2):100129 View
  5. Bosch D, Kuppen M, Tascilar M, Smilde T, Mulders P, Uyl-de Groot C, van Oort I. Reliability and Efficiency of the CAPRI-3 Metastatic Prostate Cancer Registry Driven by Artificial Intelligence. Cancers 2023;15(15):3808 View
  6. De Rosario H, Pitarch-Corresa S, Pedrosa I, Vidal-Pedrós M, de Otto-López B, García-Mieres H, Álvarez-Rodríguez L. Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review. JMIR Medical Informatics 2023;11:e48693 View
  7. Torrico- Lavayen R, Vargas-Alarcón G, Riojas-Rodriguez H, Sánchez-Guerra M, Texcalac-Sangrador J, Ortiz-Panozo E, Gutiérrez-Avila I, De Vizcaya-Ruiz A, Cardenas A, Posadas-Sánchez R, Osorio-Yáñez C. Long-term exposure to ambient fine particulate matter and carotid intima media thickness at bilateral, left and right in adults from Mexico City: Results from GEA study. Chemosphere 2023;335:139009 View
  8. Lehnen N, Dorn F, Wiest I, Zimmermann H, Radbruch A, Kather J, Paech D, Anzai Y, Panzer A. Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis. Radiology 2024;311(1) View
  9. Lefkovitz I, Walsh S, Blank L, Jetté N, Kummer B. Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review. JMIR Neurotechnology 2024;3:e51822 View
  10. Meddeb A, Ebert P, Bressem K, Desser D, Dell'Orco A, Bohner G, Kleine J, Siebert E, Grauhan N, Brockmann M, Othman A, Scheel M, Nawabi J. Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke. Journal of NeuroInterventional Surgery 2024:jnis-2024-022078 View
  11. Muir R, Callum J, Yu A, Kapral M, Swartz R, Black S, MacIntosh B, Fergusson D, Kleinman S, Demchuk A, Stys P, Smith E, Hill M. Beta-Amyloid Related Neurodegenerative and Neurovascular Diseases: Potential Implications for Transfusion Medicine. Transfusion Medicine Reviews 2024;38(4):150858 View