Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Arash Kia

Assistant Professor

Icahn School of Medicine at Mount Sinai

United States

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Research Interests

Epidemiology

60%

Health Economics

20%

Covid-19

50%

Inpatient Care

50%

Sars-cov-2

40%

Clinical Application

30%

Cancer Epidemiology

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles13

Exploring Named Entity Recognition Potential and the Value of Tailored Natural Language Processing Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study

Article Link

Year:

2025

Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation

Article Link

Year:

2025

Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

Article Link

Year:

2024

Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning–Based Clinical Decision Support Systems

Article Link

Year:

2023

SARS-CoV-2 and Stroke Characteristics

Article Link

Year:

2021

AKI in hospitalized patients with COVID-19

Article Link

Year:

2021

Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach

Article Link

Year:

2021

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19

Article Link

Year:

2020

Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19

Article Link

Year:

2020

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

Article Link

Year:

2020

Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: Model development and validation

Article Link

Year:

2020

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

Article Link

Year:

2020

Risk of stroke in hospitalized SARS-CoV-2 infected patients: A multinational study

Article Link

Year:

2020

Collaborators4

Benjamin Glicksberg

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

Himanshu Joshi

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

Ksenia Gorbenko

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

Samuel Lee

University of North Carolina, Lineberger Comprehensive Cancer Center

UNITED STATES

How do I reach out?

Meet Kite AI