Work

The Efficiency of Artificial Intelligence-Enhanced CT Scans to Combat COVID-19 for Diagnostic Accuracy: A Narrative Review

Year: 2025

Type: review

Abstract: With the outbreak of the coronavirus disease 2019 (COVID-19) worldwide, computed tomography (CT) scans have played a crucial role in diagnosing the disease. As such, this study aimed to investigate the application of emerging artificial intelligence (AI) technologies, which have enhanced imaging devices and assisted medical professionals in diagnostic practices. In addition to the automatic scanning capability, AI has reshaped the workflow by providing minimal contact between technologists and patients. It also accelerates clinical decisions in diagnosis, tracking, and prognosis; therefore, it plays a vital role in the combat against COVID-19. Installing cameras in CT rooms facilitates patient data collection such as identifying patient position and shape to support the automated scanning process. Additionally, using separate entrances for patients and technologists, along with AI-driven solutions, helps quickly detect and prevent cross-infection between patient and technologist. The results indicated that AI can estimate scan range, and by providing an automatic workflow, it significantly improves scanning efficiency and reduces unnecessary radiation exposure. Additionally, AI allows to perform a large number of scans per day. This study aimed to review the applications of this technology and explain how to provide a contactless workflow in imaging.

Source: Disease and Diagnosis

DOI: 10.34172/ddj.1654

Authors: Alireza Akaf, Leili Darvish, Mohammad Haghparast

Institutions: Tehran University of Medical Sciences, Hormozgan University of Medical Sciences

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Hormozgan University of Medical Sciences