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Affiliated institutions

  • Feinstein Institutes (opens in new tab)
  • Northwell Health (opens in new tab)
  • Zucker School of Medicine (opens in new tab)

© 2026 Division of Health AI, Northwell Health. All rights reserved.

The Feinstein Institutes for Medical Research building on Northwell Health's Manhasset campus

Clinical AI, built inside New York's largest health system.

Explore the researchMeet the team

Current research

All 14 active projects

Federally funded · R01NR020774

In-hospital deterioration prediction

Deep learning models that estimate a hospitalized patient's risk of deterioration continuously, from the electronic health record and from wearable sensors, so that clinicians are warned hours before a rapid response or ICU transfer.

ONSET

Federally funded · R01AG100193

Delirium identification and prediction

Machine learning that identifies delirium in hospitalized older adults from clinical notes, using large language models, and predicts who is at risk before it develops.

Federally funded

Health AI Assurance

FDA-funded validation of electrocardiogram devices and independent evaluation of clinical AI on Northwell's own patients, before and after a tool reaches the bedside.

Division project

Nursing workforce forecasting

Machine learning models using DeepAR probabilistic forecasting predict nursing workforce demand across Northwell's hospital units up to 12 months ahead, supporting preemptive hiring and staffing decisions across diverse specialties.

Federally funded · SPARC

REVA: the human vagus nerve atlas

A comprehensive anatomical dataset of 60 human vagus nerves (30 left, 30 right), spanning millions of micro-CT images across hundreds of terabytes of data. Using 3D nnU-Net segmentation, this project builds a detailed vagus digital twin to guide the design of selective vagus nerve stimulation therapies, part of a $6.7 million NIH SPARC award in collaboration with the TNP Lab.

Division project

Decoding the vagus nerve: preclinical recording and interpretation

Recording from the mouse vagus nerve, chronically and wirelessly, and decoding what its neurons report about inflammation and metabolism, toward bioelectronic devices that diagnose and treat from neural signals.

Recent publications

All 59 publications
Bioelectronic MedicineJul 2026

Autonomic and neural responses to varying transcutaneous cervical electrical stimulation parameters

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RespirationApr 2026

Bridging the Gender Gap in Obstructive Sleep Apnea: A Machine Learning Approach to Screening Women for Moderate-to-Severe Disease

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Journal of General Internal MedicineMar 2026

A Systematic Review and Meta-analysis of Externally Validated Epic Clinical Decision Support Tools

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International Journal of Neural SystemsDec 2025

Longitudinal characterization of compound action potentials in chronic vagus nerve recordings in mice

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The Division

Meet the team

Soroush Arabshahi, PhD

Senior Biomedical Engineer

Effrosyni Birbas, MD

Elmezzi Scholar

Shubham Debnath, PhD

Senior Research Scientist

Nabil Ettehadi, PhD

AI/ML Advisor

Theodoros Zanos, head of the Division of Health AI, standing in a hospital data center corridor

Interns and PhD students.

The division hosts undergraduate research interns and trains doctoral students through the Elmezzi Graduate School of Molecular Medicine at the Feinstein Institutes.

Internships and PhD training
Photo: Feinstein Institutes for Medical Research