Emily Baker
Pronouns: she/her
Research Mentor(s): Yun Jiang
Co-Presenter:
Research Mentor School/College/Department: / Nursing
Presentation Date: April 20
Presentation Type: Poster
Session: Session 5 – 3:40pm – 4:30 pm
Room: League Ballroom
Authors: Emily Baker, Youmin Cho, Yun Jiang
Presenter: 37
Abstract
Background Information/Introduction: Artificial intelligence (AI) is an expanding technological field that has already been applied to several daily activities, such as traveling to work in a self-driven car (1). As the field has grown over the past decade, it has been applied vastly to the medical field; in this literature review, we will be focusing on its applications to patient self-management. Patients can utilize artificial intelligence systems to help self-manage his or her own disease, preventing an unnecessary doctor’s visit or even a health emergency. Our efforts were to review numerous articles for how different types of AI can be applied to support a patient’s self-management. Methods: A full-text screening was performed on 589 articles that were found using keywords from the following databases: PubMed, PsycInfo, CINAHL, and Web of Science Core Collection. Inclusion criteria for the articles included: application of self-management to an adult population utilizing AI and articles published between 2011 and 2021. Exclusion criteria for the articles included: no AI application to self-management, no AI components, article’s full text not available, articles applied to pediatric patients, study protocol, and non-data driven articles. Articles that met the inclusion criteria and not the exclusion criteria were extracted for information and included in the final publication. Results/Analysis: Out of the 589 articles, only 102 fully met the inclusion criteria. The types of artificial intelligence included in the 102 articles were some types of robots with a natural processing language (8), neural networks (5) a type of deep learning technology (4), and a type of linear or logistic regression (4). Most artificial intelligence systems were applied to a patient’s symptom management and disease self-management, specifically inputting values related to his or her disease into an AI system. Many articles were found to reduce patient health risks, such as reducing a patient’s glucose levels, and assist with daily obstacles due to his or her disease. Conclusion: Most articles had a positive result when applying artificial intelligence to a patient’s self-management: patient had reduced health risks and were able to better self-manage his or her disease. While this is promising, many AIs were in preliminary phases and are not on the market for regular consumption. References 1. Lutkevich, Ben. (2019). “self-driving car (autonomous car or driverless car).†TechTarget. https://www.techtarget.com/searchenterpriseai/definition/driverless
Biomedical Sciences
