COVID-19 clinical decision support | Division of Health AI

Division project · Concluded 2023

Machine learning models built and deployed during the pandemic: clinical phenotyping, deterioration and respiratory failure prediction, and self-updating prognostic models, studied across cohorts in New York and the Netherlands.

Status: Concluded 2023
Program: Division project
Publications: 10, latest 2024
Team: 6 members

On this project

Soroush Arabshahi, PhD

Senior Biomedical Engineer

Lucas Cang

Visiting Scholar

Shubham Debnath, PhD

Senior Research Scientist

Todd Levy, MS

Senior Biomedical Engineer

Rohan Sen

Visiting Scholar

Theodoros Zanos, PhD

Professor & AVP

Publications

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Recent

JCI InsightJun 2024

Factors associated with immune responses to SARS-CoV-2 vaccination in autoimmune disease individuals

Earlier

International Journal of Medical InformaticsNov 2023

Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York

Clinical ImagingMar 2023

The association of clinically relevant variables with chest radiograph lung disease burden quantified in real-time by radiologists upon initial presentation in individuals hospitalized with COVID-19

Medical Decision MakingFeb 2023

US and Dutch Perspectives on the Use of COVID-19 Clinical Prediction Models: Findings from a Qualitative Analysis

BMC MedicineNov 2022

Prognostic models for COVID-19 needed updating to warrant transportability over time and space

Nature CommunicationsNov 2022

Development and Validation of Self-Monitoring Auto-Updating Prognostic Models of Survival for Hospitalized COVID-19 Patients

Journal of Medical Internet ResearchJan 2021

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation

Nature Machine IntelligenceNov 2020

External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19

Bioelectronic MedicineJul 2020

Machine learning to assist clinical decision-making during the COVID-19 pandemic

JAMAApr 2020

Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area

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