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

Natural Language Processing (650) Imaging Informatics (187) Stroke (150)

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 (9) 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