Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12109, first published .
Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports

Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports

Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports

Journals

  1. Wen A, Fu S, Moon S, El Wazir M, Rosenbaum A, Kaggal V, Liu S, Sohn S, Liu H, Fan J. Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digital Medicine 2019;2(1) View
  2. Fu S, Chen D, He H, Liu S, Moon S, Peterson K, Shen F, Wang L, Wang Y, Wen A, Zhao Y, Sohn S, Liu H. Clinical concept extraction: A methodology review. Journal of Biomedical Informatics 2020;109:103526 View
  3. Wheater E, Mair G, Sudlow C, Alex B, Grover C, Whiteley W. A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. BMC Medical Informatics and Decision Making 2019;19(1) View
  4. Fu S, Lopes G, Pagali S, Thorsteinsdottir B, LeBrasseur N, Wen A, Liu H, Rocca W, Olson J, St. Sauver J, Sohn S, Newman A. Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records. The Journals of Gerontology: Series A 2022;77(3):524 View
  5. Zhao Y, Fu S, Bielinski S, Decker P, Chamberlain A, Roger V, Liu H, Larson N. Using Natural Language Processing and Machine Learning to Identify Incident Stroke from Electronic Health Records (Preprint). Journal of Medical Internet Research 2020 View
  6. Leung L, Fu S, Luetmer P, Kallmes D, Madan N, Weinstein G, Lehman V, Rydberg C, Nelson J, Liu H, Kent D. Agreement between neuroimages and reports for natural language processing-based detection of silent brain infarcts and white matter disease. BMC Neurology 2021;21(1) View
  7. Casey A, Davidson E, Poon M, Dong H, Duma D, Grivas A, Grover C, Suárez-Paniagua V, Tobin R, Whiteley W, Wu H, Alex B. A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics and Decision Making 2021;21(1) View
  8. Mastorakos G, Khurana A, Huang M, Fu S, Tafti A, Fan J, Liu H. Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis. Health Data Science 2021;2021:1 View
  9. Canales L, Menke S, Marchesseau S, D’Agostino A, del Rio-Bermudez C, Taberna M, Tello J. Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology. JMIR Medical Informatics 2021;9(7):e20492 View
  10. Kim C. An Implementation of Natural Language Processing and Text Mining in Stroke Research. Journal of the Korean Neurological Association 2021;39(3):121 View
  11. Han P, Fu S, Kolis J, Hughes R, Hallstrom B, Carvour M, Maradit-Kremers H, Sohn S, Vydiswaran V. Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation. JMIR Medical Informatics 2022;10(8):e38155 View
  12. Zhao Y, Hu L, Chi L. IKAR: An Interdisciplinary Knowledge-Based Automatic Retrieval Method from Chinese Electronic Medical Record. Information 2023;14(1):49 View
  13. Nakamura Y, Hanaoka S, Nomura Y, Nakao T, Miki S, Watadani T, Yoshikawa T, Hayashi N, Abe O. Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. BMC Medical Informatics and Decision Making 2021;21(1) View
  14. Kent D, Leung L, Zhou Y, Luetmer P, Kallmes D, Nelson J, Fu S, Zheng C, Liu H, Chen W. Association of Silent Cerebrovascular Disease Identified Using Natural Language Processing and Future Ischemic Stroke. Neurology 2021;97(13) View
  15. Fu S, Wang L, Moon S, Zong N, He H, Pejaver V, Relevo R, Walden A, Haendel M, Chute C, Liu H. Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review. Clinical and Translational Science 2023;16(3):398 View
  16. Crema C, Attardi G, Sartiano D, Redolfi A. Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry 2022;13 View
  17. Fu S, Vassilaki M, Ibrahim O, Petersen R, Pagali S, St Sauver J, Moon S, Wang L, Fan J, Liu H, Sohn S. Quality assessment of functional status documentation in EHRs across different healthcare institutions. Frontiers in Digital Health 2022;4 View
  18. Wang A, Leung L, Puttock E, Luetmer P, Kallmes D, Nelson J, Fu S, Zheng C, Liu H, Chen W, Kent D. Stratifying Future Stroke Risk with Incidentally Discovered White Matter Disease Severity and Covert Brain Infarct Site. Cerebrovascular Diseases 2023;52(1):117 View
  19. Kent D, Leung L, Zhou Y, Luetmer P, Kallmes D, Nelson J, Fu S, Puttock E, Zheng C, Liu H, Chen W. Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia. Journal of the American Heart Association 2023;12(1) View
  20. Leung L, Zhou Y, Fu S, Zheng C, Luetmer P, Kallmes D, Liu H, Chen W, Kent D. Risk Factors for Silent Brain Infarcts and White Matter Disease in a Real-World Cohort Identified by Natural Language Processing. Mayo Clinic Proceedings 2022;97(6):1114 View
  21. Li J, Lin Y, Zhao P, Liu W, Cai L, Sun J, Zhao L, Yang Z, Song H, Lv H, Wang Z. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT). BMC Medical Informatics and Decision Making 2022;22(1) View
  22. Rietberg M, Nguyen V, Geerdink J, Vijlbrief O, Seifert C. Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models. Diagnostics 2023;13(7):1251 View
  23. Meinel T, Triulzi C, Kaesmacher J, Mujanovic A, Pasi M, Leung L, Kent D, Sui Y, Seiffge D, Bücke P, Umarova R, Arnold M, Roten L, Nguyen T, Wardlaw J, Fischer U. Management of covert brain infarction survey: A call to care for and trial this neglected population. European Stroke Journal 2023;8(4):1079 View
  24. Casey A, Davidson E, Grover C, Tobin R, Grivas A, Zhang H, Schrempf P, O’Neil A, Lee L, Walsh M, Pellie F, Ferguson K, Cvoro V, Wu H, Whalley H, Mair G, Whiteley W, Alex B. Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers in Digital Health 2023;5 View
  25. Chien A, Tang H, Jagessar B, Chang K, Peng N, Nael K, Salamon N. AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical. American Journal of Neuroradiology 2024;45(2):244 View
  26. Khosravi P, Mohammadi S, Zahiri F, Khodarahmi M, Zahiri J. AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches. Journal of Magnetic Resonance Imaging 2024 View
  27. Clancy Ú, Puttock E, Chen W, Whiteley W, Vickery E, Leung L, Luetmer P, Kallmes D, Fu S, Zheng C, Liu H, Kent D. Mortality Outcomes in a Large Population with and without Covert Cerebrovascular Disease. Aging and disease 2024:0 View

Books/Policy Documents

  1. Moylett S. Big Data in Psychiatry #x0026; Neurology. View
  2. Fu S, Wen A, Liu H. Clinical Research Informatics. View