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Sleep|November 11, 2023
Linking brain structure, cognition, and sleep: insights from clinical dataRuoqi Wei, Wolfgang Ganglberger, Haoqi Sun, et al.
Chest|December 21, 2020
Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical VentilationSupreeth P Shashikumar, Gabriel Wardi, Paulina Paul, et al.
Current Neurology and Neuroscience Reports|July 28, 2020
Detecting Seizures and Epileptiform Abnormalities in Acute Brain InjuryShobhit Singla, Gabriella E Garcia, Grace E Rovenolt, et al.
Journal of Neural Engineering|October 21, 2022
Improving automated diagnosis of epilepsy from EEGs beyond IEDsPrasanth Thangavel, John Thomas, Nishant Sinha, et al.
The Journal of Thoracic and Cardiovascular Surgery|October 5, 2021
Prediction of operative mortality for patients undergoing cardiac surgical procedures without established risk scoresChin Siang Ong, Erik Reinertsen, Haoqi Sun, et al.
JAMA Network Open|March 19, 2026
Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-AnalysisHaoqi Sun, Sasha Milton, Yi Fang, et al.
Medrxiv : the Preprint Server for Health Sciences|October 3, 2025
Dementia Risk and Machine Learning-Derived Brain Age Index from Sleep Electroencephalography: A Pooled Cohort Analysis of Over 7,000 Individuals Across Five Community CohortsHaoqi Sun, Sasha Milton, Yi Fang, et al.
NEJM AI|June 14, 2024
Improving Clinician Performance in Classifying EEG Patterns on the Ictal-Interictal Injury Continuum Using Interpretable Machine LearningAlina Jade Barnett, Zhicheng Guo, Jin Jing, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Association between Interictal Spike Rate and Seizure Frequency in a Large Epilepsy CohortErin C Conrad, Ellie Chang, Kevin Xie, et al.
Neurocritical Care|October 7, 2017
Electronic Health Data Predict Outcomes After Aneurysmal Subarachnoid HemorrhageSahar F Zafar, Eva N Postma, Siddharth Biswal, et al.
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