npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02812-1

Impact of the new European medical device regulation on digital health manufacturers

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02766-4

Identifying trajectories across care modalities before and after COVID-19 using sequence analysis

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02788-y

Feasibility and impact of a large language model pipeline for surgical trial abstracts

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02704-4

CODE-II: a large-scale dataset for artificial intelligence in ECG analysis

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02810-3

Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02806-z

The landscape of virtual simulation in undergraduate dental education with implications for artificial intelligence incorporation

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02798-w

Personalized neoadjuvant treatment regimen selection in locally advanced rectal cancer based on regimen-specific response modeling

npj Digital Medicine, Published online: 25 May 2026; doi:10.1038/s41746-026-02778-0

Trust-gated synthetic EEG augmentation reduces performance drops when generalizing to new patients

npj Digital Medicine, Published online: 11 April 2026; doi:10.1038/s41746-026-02602-9

Graphicalized vision-language modeling for comprehensive lung nodule analysis and risk stratification

npj Digital Medicine, Published online: 11 April 2026; doi:10.1038/s41746-026-02516-6

Application of machine learning in osteoporosis screening: a narrative review

npj Digital Medicine, Published online: 11 April 2026; doi:10.1038/s41746-026-02610-9

Cardiovascular digital twins using a Windkessel physics informed neural network

npj Digital Medicine, Published online: 11 April 2026; doi:10.1038/s41746-026-02601-w

Evaluating AI in leukocyte classification: performance of the AI system against 15 morphology experts

npj Digital Medicine, Published online: 11 April 2026; doi:10.1038/s41746-026-02578-6

Instant messaging-delivered brief motivational interviewing for noncommunicable disease patients with no intention to quit smoking

npj Digital Medicine, Published online: 10 April 2026; doi:10.1038/s41746-026-02614-5

Pursuit of biomarkers of brain diseases: beyond cohort comparisons

npj Digital Medicine, Published online: 10 April 2026; doi:10.1038/s41746-026-02609-2

The landscape of artificial intelligence-enabled medical devices in the EU and the US intended for intensive care units

npj Digital Medicine, Published online: 10 April 2026; doi:10.1038/s41746-026-02583-9

Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial

npj Digital Medicine, Published online: 07 April 2026; doi:10.1038/s41746-026-02593-7

Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes

npj Digital Medicine, Published online: 07 April 2026; doi:10.1038/s41746-026-02605-6

Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts

npj Digital Medicine, Published online: 07 April 2026; doi:10.1038/s41746-026-02615-4

Yakdan et al. demonstrate that foundation models (FMs) trained to predict cervical spondylotic myelopathy from electronic health record data outperform traditional models on internal datasets but lose their advantage during external validation. This suggests that the feature-dense patterns learned by FMs may reduce their portability across settings, particularly for rare outcomes. As FMs approach clinical deployment, local validation, subgroup analysis, and attention to implementation burden are essential to inform health system planning and stewardship.

npj Digital Medicine, Published online: 07 April 2026; doi:10.1038/s41746-026-02470-3

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation