InDRI: Intelligent Diagnosis Radiology Images
The need for an early screening and Computer-Aided Diagnosis (CAD) system based on Artificial Intelligence (AI) for the field of radiology is essential to realize considering the large impact of lung diseases globally. However, developing AI requires a lot of data, which is a challenge because data in the health sector tends to be limited in quantity and has disparities between diagnostic categories (data imbalance). To overcome this issue, DINO ViT models was trained with the publicly available COVID-19 Radiography Database in our previous study. The model was subsequently implemented into a web application, with this study focusing on the development of a prototype for the application. The study found this application can be useful for medical personnel and doctors in carrying out early screening and CAD. Meanwhile, it also highlighted the general unfamiliarity with AI applications among medical staff, emphasizing the need for increased education and training on AI’s role in healthcare.
Authors:
Mahmud Isnan; Gregorius Natanael Elwirehardja; Kuncahyo Setyo Nugroho; Imelda Liana Ritonga; Roby Pahala Januario Gultom; Elida Afni Lubis
2024 6th International Conference on Cybernetics and Intelligent System (ICORIS)