Dominique Monlezun

Professor (Adjunct Asst)

The University of Texas MD Anderson Cancer Center

United States

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Dominique Monlezun is an Adjunct Assistant Professor at the University of Texas MD Anderson Cancer Center in the United States. His research areas include cardio-oncology, machine learning applications in healthcare, and disparities in cardiac care for cancer patients. Recent publications highlight his work on thrombolysis outcomes, cost-effectiveness analyses involving artificial intelligence, and the impact of socioeconomic factors on patient outcomes in cardiology.

Articles (12)

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2025

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (2)

Alberto García Gómez

Dean

Pontifical Gregorian University

ITALY

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Nicolas Palaskas

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Dominique Monlezun

Research Interests

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Articles (12)

Cardio-oncology Outcomes in Ultrasound-assisted Versus Standard Catheter-directed Thrombolysis for Acute Pulmonary Embolus

Percutaneous Coronary Intervention Mortality, Cost, Complications, and Disparities after Radiation Therapy: Artificial Intelligence-Augmented, Cost Effectiveness, and Computational Ethical Analysis

Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score

Reclassification of Treatment Strategy with Fractional Flow Reserve in Cancer Patients with Coronary Artery Disease

Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations

Stress cardiomyopathy in hospitalized patients with cancer: machine learning analysis by primary malignancy type

TAVR and cancer: machine learning-augmented propensity score mortality and cost analysis in over 30 million patients

Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients

confinamientos de la población por el Covid-19 pueden empeorar las desigualdades socioeconómicas que impactan de forma desproporcionada en las minorías raciales: rentabilidad aumentada por aprendizaje automático y análisis ético computacional

Meta-analysis and machine learning-augmented mixed effects cohort analysis of improved diets among 5847 medical trainees, providers and patients

Antiepileptic Drug Management in Acute Ischemic Stroke: Are Vascular Neurologists Utilizing Electroencephalograms? An Observational Cohort Study

Outcomes of Patients Undergoing Transcatheter Aortic Valve Implantation With Incidentally Discovered Masses on Computed Tomography

Collaborators (2)

Alberto García Gómez

Nicolas Palaskas

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