Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44537, first published .
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

Journals

  1. Lee K, Liu Z, Mai Y, Jun T, Ma M, Wang T, Ai L, Calay E, Oh W, Stolovitzky G, Schadt E, Wang X. Optimizing Clinical Trial Eligibility Design Using Natural Language Processing Models and Real-World Data: Algorithm Development and Validation. JMIR AI 2024;3:e50800 View
  2. Wang L, Maolan A, Luo Y, Li Y, Liu R. Knowledge mapping analysis of ground glass nodules: a bibliometric analysis from 2013 to 2023. Frontiers in Oncology 2024;14 View
  3. Paek H, Fortinsky R, Lee K, Huang L, Maghaydah Y, Kuchel G, Wang X. Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study. JMIR Aging 2025;8:e65221 View
  4. Lee K, Liu Z, Huang Q, Corrigan D, Kalsekar I, Jun T, Stolovitzky G, Oh W, Rajaram R, Wang X. Decoding Recurrence in Early-Stage and Locoregionally Advanced Non–Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing. JCO Clinical Cancer Informatics 2025;(9) View
  5. Fleurence R, Wang X, Bian J, Higashi M, Ayer T, Xu H, Dawoud D, Chhatwal J. A Taxonomy of Generative Artificial Intelligence in Health Economics and Outcomes Research: An ISPOR Working Group Report. Value in Health 2025 View
  6. Shin C, Eom D, Lee S, Park J, Kim K, Lee K. Two stage large language model approach enhancing entity classification and relationship mapping in radiology reports. Scientific Reports 2025;15(1) View
  7. Fleurence R, Dawoud D, Bian J, Higashi M, Wang X, Xu H, Chhatwal J, Ayer T. ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: An ISPOR Working Group Report. Value in Health 2025 View