Date of Graduation

Summer 8-16-2024

Document Access

Project/Capstone - Global access

Degree Name

Master of Public Health (MPH)

College/School

School of Nursing and Health Professions

Department/Program

Public Health

First Advisor

Richard Callahan

Abstract

Background: Artificial intelligence (AI) has become more prominent in our daily lives in recent years. This includes various aspects of healthcare. Interventional radiology (IR) is one of these specialties that has taken strides in understanding how AI can be leveraged for patient care. This literature review aims to understand what areas will be most impacted by AI in IR and how it will influence both the patient and interventional radiologist.

Methods: Twenty-six publications from 2019-2024 were selected from PubMed and Scopus. Publications were sourced through a combination of keywords, subject headings (MeSH terms), and citation searching.

Results: This literature review identified three main areas of impact within interventional radiology (IR) that artificial intelligence will significantly affect. These areas are: education, risk calculation, and patient care. AI implementation within the continuum of patient care can be organized into pre-procedural, intra-procedural, and post-procedural impacts.

Conclusion: AI has been shown to be a revolutionary tool with great potential to benefit not only the patient but the interventional radiologist. As the field continues to understand where AI can be leveraged, it is essential to maintain interprofessional collaboration, develop structured policies, and discover AI’s limitations to move the field toward a future with quality-of-life-improving advancements.

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