Development of Deep Learning Models for Predicting Cardiac Related Outcomes; Gender Bias in AI-Powered Cardiac MRI Diagnostics: Examining Disparities in Medical Outcomes
Year: 2025
Type: dissertation
Abstract: Artificial intelligence (AI) has had a significant impact on cardiac medicine, enhancing diagnosis, treatment planning, and patient care across multiple clinical settings. Such major advances include increased ability for interpreting data from MRIs and ECGs to predict clinical outcomes such as. In this portfolio, I present two complementary reports that explore both the societal implications of AI in cardiovascular care and a technical analysis of my deep learning contributions to this rapidly evolving field.
Source: Libra
DOI: 10.18130/p5my-jz68
Author: Jonathan Le
Institution: University of Virginia
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6944255432
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