A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms

Author:

Saw Shier Khee1,Sopandi Syaiful Azzam2,Ramely Rosnelifaizur bin1,Chan Chow Khuen3,Wong Michael Pak Kai1,Saw Shier Nee4

Affiliation:

1. Department of Surgery, School of Medical Sciences, Universiti Sains Malaysia Health Campus, Kubang Kerian, Malaysia

2. Department of Surgery, Hospital Raja Perempuan Zainab II, Kota Bharu, Malaysia

3. Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia

4. Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia

Abstract

Abdominal aorta aneurysm (AAA) is defined as an abnormal dilatation of the aorta at least 50% more than the adjacent normal vessel diameter. AAA is usually asymptomatic until complications occur such as aorta dissection and ruptured AAA, which has a direct relationship with the size of the aneurysm. Early detection with early intervention of AAA reduces the mortality rate related to rupture. In the era of digitalization, medical data such as electronic medical record, ultrasound images, and physical measurements are available for analysis. Furthermore, with the advancement of artificial intelligence (AI) technologies, numerous AI models have been proposed and shown to improve AAA diagnosis and prognostication. AI technologies, with no doubt, possess an infinite potential to improve the services of healthcare providers. Hence, this chapter targets the audience from all professions: clinicians, radiologists, and computer scientists. This chapter aims to close the gap between the medical profession and computer scientists and thus to design an AI model that can be clinically used.

Publisher

IGI Global

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