Publications & preprints
Papers by the lab’s listed researchers in Health AI Central’s research database, newest first.
- Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials.PubMed ↗
Lab researcherRicardo Henao
- Machine Learning Risk Prediction for Treated Retinopathy of Prematurity in Infants.PubMed ↗
Lab researcherRicardo Henao
- A robust and data-efficient deep learning model for cardiac assessment without segmentation.PubMed ↗
Lab researcherRicardo Henao
- Automated Data Harmonization in Clinical Research: Natural Language Processing Approach.PubMed ↗
Lab researchersRicardo HenaoChuan Hong
- Development of a natural language processing algorithm to extract social determinants of health from clinician notes.PubMed ↗
Lab researcherRicardo Henao
- Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.PubMed ↗
Lab researcherRicardo Henao
- Machine Learning Computer Vision Point of Care Decision Support of Echocardiographic Identification of Hypertrophic Cardiomyopathy.PubMed ↗
Lab researcherRicardo Henao
- PubMed ↗
- Development of Multiservice Machine Learning Models to Predict Postsurgical Length of Stay and Discharge Disposition at the Time of Case Posting.PubMed ↗
Lab researcherRicardo Henao
- Development of a Flexible Chain of Thought Framework for Automated Routing of Patient Portal Messages.PubMed ↗
Lab researcherRicardo Henao
NIH grants
Grants where NIH lists a lab researcher as contact principal investigator, one row per project.
Active · 9
- Duke Autism Center of Excellence: A translational digital health and computational approach to early identification, outcome monitoring, and biomarker discovery in autismActive
Lab researcherBenjamin Goldstein
- Assimilating high-resolution behavioral and neural data across heterogeneous experimental configurationsActive
Lab researcherTimothy Dunn
- AI-driven Multimodal Model for PrEP Candidacy Assessment in Women (AiM-PrEP)Active
Lab researcherNrupen Bhavsar
- Building and implementing a TBI prognostic model featuring real-time analysis of brain CT imagesActive
Lab researcherTimothy Dunn
- Administrative CoreActive
Lab researcherNrupen Bhavsar
- Harmonization of breast MRI dataActive
Lab researcherMaciej Mazurowski
- High-resolution 3D tracking of social behaviors for deep phenotypic analysisActive
Lab researcherTimothy Dunn
- High-throughput, high-resolution 3D measurement of ethologically relevant rodent behavior in a dynamic environmentActive
Lab researcherTimothy Dunn
- Advancing Identification of Late-Talking Children and Mapping their Developmental Trajectories Using Real World Data from Electronic Health RecordsActive
Lab researcherBenjamin Goldstein
Ended · 5
- Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKDEnded
Lab researcherBenjamin Goldstein
- Urinary Stone Disease Research Network: Scientific Data Research CenterEnded
Lab researcherCharles Scales
- Addressing Bias from Missing Data in EHR Based Studies of CVDEnded
Lab researcherNrupen Bhavsar
- Machine learning and collaborative filtering tools for personalized education in digital breast tomosynthesisEnded
Lab researcherMaciej Mazurowski
- Understanding and predicting cardiac events in HD using real-time EHRsEnded
Lab researcherBenjamin Goldstein