Publications & preprints
Papers by the lab’s listed researchers in Health AI Central’s research database, newest first.
- MAGIC: an international network for evaluating generative artificial intelligence in global health.PubMed ↗
Lab researchersBenjamin GoldsteinChuan Hong
- A distribution-aware optimization model for improving operating room utilization and out-patient flow.PubMed ↗
Lab researcherMichael Zavlanos
- SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.PubMed ↗
Lab researcherMaciej Mazurowski
- The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.PubMed ↗
Lab researcherCatherine Staton
- Clinician Perspectives on Barriers and Facilitators to Abdominal Organ Transplant Access.PubMed ↗
Lab researcherWhitney Welsh
- A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study.PubMed ↗
Lab researcherChuan Hong
- Development of an image-based deep learning algorithm to predict ovarian torsion.PubMed ↗
Lab researcherMaciej Mazurowski
- Improving the Performance of Models Trained on Small EHR-Derived Samples by Leveraging External Data with Continual Learning Methods.PubMed ↗
Lab researchersBenjamin GoldsteinElliot Hill
- Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.PubMed ↗
Lab researcherBenjamin Goldstein
- Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.PubMed ↗
Lab researchersBenjamin GoldsteinChuan Hong
- Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.PubMed ↗
Lab researcherCatherine Staton
- Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection.PubMed ↗
Lab researcherBenjamin Goldstein
- Using Encounter-Level Data for Risk-Adjustment of Antimicrobial Use Comparisons: Feasibility and Variable Selection.PubMed ↗
Lab researcherBenjamin Goldstein
- Divergence in Menopause Symptom Narratives Between Online and Clinical Settings.PubMed ↗
Lab researcherMonica Agrawal
- Patient Perspectives on AI-Drafted Electronic Portal Messages.PubMed ↗
Lab researchersArmando BedoyaBen Goldstein
- Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials.PubMed ↗
Lab researcherRicardo Henao
- Using clinical notes to identify children with speech-language delay and understand differences in diagnostic timing.PubMed ↗
Lab researcherBenjamin Goldstein
- Strategies for mitigating artificial intelligence bias in healthcare: a systematic review.PubMed ↗
Lab researchersMichael CaryChuan Hong
- Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.PubMed ↗
Lab researcherMaciej Mazurowski
- Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies' impact on physician burnout.PubMed ↗
Lab researchersArmando BedoyaBenjamin Goldstein
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