Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health.

Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records.

Corrigendum to "Brain health scores to predict neurological outcomes from electronic health records" [Int. J. Med. Inform. (2023) 105270].

Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health.

Contactless Polysomnography: What Radio Waves Tell Us about Sleep.

Brain health scores to predict neurological outcomes from electronic health records.

Classification of neurologic outcomes from medical notes using natural language processing.

Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks.

Age estimation from sleep studies using deep learning predicts life expectancy.

How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.

Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation.

Automated Respiratory Event Detection Using Deep Neural Networks.

Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning.

Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.

Automated tracking of level of consciousness and delirium in critical illness using deep learning.

Expert-level sleep scoring with deep neural networks.

HAMLET: Interpretable Human And Machine co-LEarning Technique.

SLEEPNET: Automated Sleep Staging System via Deep Learning.

Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity.

iPEAP: integrating multiple omics and genetic data for pathway enrichment analysis.