Analisis Software Semi Otomatis dan Artificial Intelligence Dalam Menentukan Letak Kalsifikasi dan Nilai Agatstone Score

Fikri Fathurrahman; Khairil Anwar; Samsun

doi:10.55451/jri.v7i1.261

Fikri Fathurrahman Poltekkes Kemenkes Jakarta II
Khairil Anwar Department of Radiodiagnostic and Radiotherapy Techniques, Poltekkes Kemenkes Jakarta II, Indonesia
Samsun Department of Radiodiagnostic and Radiotherapy Techniques, Poltekkes Kemenkes Jakarta II, Indonesia

DOI: https://doi.org/10.55451/jri.v7i1.261

Keywords: Calcium Score, Computed Tomography, Agatstone Score, Artificial Intelligence

Abstract

Background: Medically, an important indicator from cardiovascular disease is the enhancement of calcification. For that reason, the assessment of Calcium Score and Artificial Intelligence have the same potential to help or even to replace human role, hence, it can reduce clinical work burden and improving an efficiency. This research aims to analyze a difference between Artificial Intelligence and semi-automatic methods in determining the calcification location and Agatstone Score value undertaken at Radiology and Nuclear Cardiology Installation of Harapan Kita Heart and Blood Vessel Hospital, West Jakarta.

Methods: Research design used is descriptive quantitative method, this research was executed in Radiology and Nuclear Cardiology Installation starting from October up to November 2023 with the total number of samples as many as 50 secondary data

Results: Result of this research shows that there is no significant difference between Artificial Intelligence-based software and semi-automatic methods in determining the mark of Agatstone Score and location calcification

Conclusions: Based on the results of the research and discussion analyzing semi-automatic software and Artificial Intelligence in determining the location of classification and Agatstone Score values, it can be concluded that the superiority of Artificial Intelligence-based post-processing software in determining the location of classification and Agatstone Score values lies in the fact that this software provides ease in rapidly and accurately reconstructing the assessment of classification locations, especially in cases of minimal lesions in blood vessels. It is faster and simpler in determining Agatstone Score values compared to semi-automatic methods because the software automatically works to determine the total Agatstone Score value.