Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/51409, first published
.

Journals
- Ye Y, Jiang Z, Li S, Lai Z, Dahlweid F, Sun H, Zhang X. SEHPNet: Spectrally enhanced hierarchical patch network for sleep disorder evaluation via respiratory signals. Biomedical Signal Processing and Control 2026;112:108384 View
- Li Y, Wang B. Machine learning-based prediction of atherosclerotic cardiovascular disease risk in adults with diabetes or prediabetes. BMC Cardiovascular Disorders 2025;26(1) View
- Zhang X, Wang A, Xu R, Liu D. Enhancing bronchopulmonary dysplasia prediction in preterm infants using artificial intelligence and multimodal data integration. Frontiers in Pediatrics 2025;13 View
- Ouyang J, Xiao P, Chen J, Dahlweid F, Chen Y, Wei Y, Lai Z. Label-efficient sleep staging from multi-channel EEG with self-supervised contrastive learning and iterative self-distillation. Array 2026;29:100718 View
- Fliegenschmidt J, Sasono G, Cabanillas Silva P, Meesseman L, Rezk M, Dahlweid M, Bergmann A, Hulde N, von Dossow V. Predicting kidney injury after cardiac surgery with cardio-pulmonary bypass using machine learning. Frontiers in Digital Health 2026;8 View
- Balafkhar R, Baalawi Y, Almashhor A, Alasheq A, Alhebshi O, Mohaini M. Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis. Journal of Biomedical Informatics 2026;177:105006 View
- Ouyang J, Wei Y, Qian S, Dahlweid F, Sun H, Lai Z, Zhang X. Dual-Branch Self-Supervised Contrastive Pre-Training Framework for Sleep Stage Classification. IEEE Journal of Biomedical and Health Informatics 2026;30(5):4069 View
- Dela Peña A, Clariza J, Ann Aballiar-Vista M. Evidence-Grounded Decision Support for Aircraft Line Maintenance Using Conformal Prediction and Retrieval-Augmented NLP from Technical Log Records. Transactions on Aerospace Research 2026;2026(2):53 View
- Lu H, Xu J. Fair and robust early readmission risk prediction from electronic health records via diffusion-based data augmentation and causal-invariant representation learning. Scientific Reports 2026;16(1) View
- Kopanitsa G, Winter M. Validation is not enough: Longitudinal evidence of post-deployment fragility in clinical AI systems. PLOS Digital Health 2026;5(7):e0001534 View
- Herrera L, Rojas D, Castro A. Post-Deployment Update Triggers for Clinical AI: An Error-Taxonomy Framework for Safe Model Revision. Journal of Health Informatics and Digital Systems 2024;4(1) View
- Chi H, Liu X, Yan Y, Wang L, Luo P, Su L, Jiang L, Zhou X, Huang G, Jiang Y, Yin S, Su K, Chen H, Zhang G, Zhang P, Zhang H, Ye B, Cao Q, Liu J, Khadka V, Yang H, Yang G, Xu J, Wang P, Wang X, Xia Z, Li X, Deng Y, Li Z, Xu K. Trustworthy AI for disease pathogenesis and precision medicine: A disease-agnostic framework from data to deployment. Genes & Diseases 2026:102480 View
- Shujaat S. Beyond Regulatory Approval: Lifecycle Assurance for Clinical Artificial Intelligence. Journal of Medical Systems 2026;50(1) View
- Zeng Q, Li J, Hu J, Yang C. Artificial intelligence in perioperative pressure injury management: a scoping review of evidence, gaps, and implications for population health and digital public health policy. Frontiers in Public Health 2026;14 View
Books/Policy Documents
- Sivaprasad A, Reiter E, McLernon D, Tintarev N, Bhattacharya S, Oren N. Artificial Intelligence in Healthcare. View
Conference Proceedings
- Sherly P, Velvizhy P, Matan P, Kumar K, S M. 2026 International Conference on Artificial Intelligence and Data Engineering (AIDE). MED-XEL: Explainable AI on Ensemble Methods for Early Neurological Risk Forecasting View
- M A, G P. 2026 7th International Conference on Inventive Research in Computing Applications (ICIRCA). NA-XGB: A Neuroadaptive XGBoost Framework for Real-Time EEG-based Stress Detection on Edge Devices View
