Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69785, first published .
Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Journals

  1. Wang M, Li L, Feng M, Liu Z. Advances in artificial intelligence applications for the management of chronic obstructive pulmonary disease. Frontiers in Medicine 2025;12 View
  2. Pinheira A, Casal-Guisande M, Represas-Represas C, Torres-Durán M, Comesaña-Campos A, Fernández-Villar A. Artificial Intelligence Applications in Chronic Obstructive Pulmonary Disease: A Global Scoping Review of Diagnostic, Symptom-Based, and Outcome Prediction Approaches. Biomedicines 2025;13(12):3053 View
  3. Chen S, Xing S, Zhang G, Qiu F. Innovative Applications and Challenges of Artificial Intelligence in the Whole-Course Management of Chronic Obstructive Pulmonary Disease. International Journal of Chronic Obstructive Pulmonary Disease 2026;Volume 21:1 View

Conference Proceedings

  1. Vara J, J P. 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). A Review on COPD Prediction using Convolutional Neural Networks: Approaches, Challenges and Future Directions View
  2. Sanapala S, Kosari M, Saishesh K, Sruvana K, Chowdhary M, Reddy M. 2025 2nd International Conference on Software, Systems and Information Technology (SSITCON). Enhancing COPD Prediction Using Machine Learning: A New Approach to Early Detection and Intervention View