Shan Zhao

Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine — China

Medicine · Health Sciences

27h-index5.6kcitations66works0.62yr avg
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Research Topics

COVID-19 Clinical Research Studies(16), Machine Learning in Healthcare(10), Long-Term Effects of COVID-19(7), COVID-19 and healthcare impacts(6), COVID-19 diagnosis using AI(6)

Publications66 total

Efficacy and safety of acupuncture-related therapies in improving insulin resistance, reproductive endocrine outcomes, and ovarian morphology in polycystic ovary syndrome: a systematic review and network meta-analysis
Frontiers in Endocrinology·2026Open Access
Sex-consistent outcomes in SGLT2 inhibitor-treated acute myocardial infarction patients: a real-world study
European journal of medical research·2025Open Access
[Screening and Preliminary Validation of Multiple Myeloma Specific Proteins].
PubMed·2025
Acupoint stimulation methods for premature ovarian insufficiency: a systematic review and network meta-analysis of randomized controlled trials.
PubMed·2025Open Access
Multi-Dimensional Morphometric and Volumetric Analysis of the Posterior Cranial Fossa to Study Type I Chiari Malformation
World Neurosurgery·2024· 3 cited
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
Communications Medicine·2023· 20 citedOpen Access
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection
2023· 1 citedOpen Access
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection
2021· 6 citedOpen Access
Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening
European Heart Journal - Digital Health·2021· 30 citedOpen Access
Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram
JACC. Cardiovascular imaging·2021· 98 citedOpen Access
Development and validation of techniques for phenotyping ST-elevation myocardial infarction encounters from electronic health records
JAMIA Open·2021· 3 citedOpen Access
PHENOTYPING ST-ELEVATION MYOCARDIAL INFARCTION FROM ELECTRONIC HEALTH RECORDS: DEVELOPMENT AND VALIDATION OF TECHNIQUES
Journal of the American College of Cardiology·2021
Neonatal outcomes during the COVID-19 pandemic in New York City
Pediatric Research·2021· 25 citedOpen Access
Using deep learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram
2021· 14 citedOpen Access
Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings
Scientific Reports·2021· 26 citedOpen Access
Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study
PLoS ONE·2021· 9 citedOpen Access
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
JMIR Medical Informatics·2021· 197 citedOpen Access
Development of a Machine Learning Model Using Electrocardiogram Signals to Improve Pulmonary Embolism Screening
SSRN Electronic Journal·2021Open Access
Monitoring of COVID-19-Associated Coagulopathy and Anticoagulation with Thromboelastometry
Transfusion Medicine and Hemotherapy·2021· 9 citedOpen Access
Neonatal outcomes during the COVID-19 pandemic in New York City
2020· 6 citedOpen Access
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Frequent Co-authors

Benjamin S. Glicksberg(29), Girish N. Nadkarni(29), Alexander W. Charney(20), Matthew A. Levin(18), Sulaiman Somani(18), Akhil Vaid(16), Ishan Paranjpe(15), Zahi A. Fayad(15), Felix Richter(15), Jessica K. De Freitas(14), Kipp W. Johnson(12), Adam Russak(10), Fayzan Chaudhry(10), Riccardo Miotto(10), Erwin P. Böttinger(10), Valentı́n Fuster(9), Anuradha Lala(9), Jagat Narula(9), Suraj K. Jaladanki(9), Eric E. Schadt(8)