Investigate Harnessing Artificial Intelligence Technology (AIT) in Detecting Diseases (Covid 19)

Ahmad, Zuheir and Abdallah, Bassam and Anwar Assaad, Mohammad (2024) Investigate Harnessing Artificial Intelligence Technology (AIT) in Detecting Diseases (Covid 19). In: 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE (CIC-COCOS'24), 24-25/04/2024, cihan university-erbil.

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Abstract

The international epidemic of coronavirus disorder (COVID-19) has precipitated hundreds of thousands of losses and influenced the living of numerous more individuals. Primary and fast discovery of COVID-19 is a difficult undertaking for the clinical public; however, it is additionally essential in ending the unfolding of the SARS-CoV-2 virus. Former confirmation of synthetic talent (AI) in more than a few arenas of knowledge has motivated scholars to in addition tackle this problem. Numerous clinical imaging modalities consisting of X-ray, computed tomography (CT), and ultrasound (US) the usage of AI methods had considerably aided to limit the COVID-19 burst via supporting initial identification. We did a methodical evaluation of the latest AI methods implemented with X-ray, CT, and US photographs to become aware of COVID-19. Within this study, we talk about procedures applied via more than a few researchers and the magnitude of those lookup labors, the manageable challenges, and forthcoming traits associated with the application of an AI gadget for sickness recognition at some stage in the COVID-19 pandemic.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Synthetic Intelligence, Computer-Aided Diagnostic Tool, Deep Neural Networks, Handmade
Subjects: T Technology > T Technology (General)
Divisions: Department of Informatic and Software Engineering > Research papers
Depositing User: ePrints Depositor
Date Deposited: 21 Nov 2024 07:28
Last Modified: 21 Nov 2024 07:28
URI: https://eprints.cihanuniversity.edu.iq/id/eprint/2701

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