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COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems.

Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems.

The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated.

The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images.

The outbreak of COVID-19 has projected prominent threats to the learning and teaching environment. The context of pandemic has delivered numerous advices, which are relevant in dealing with the pandemic situation, to the educational institution administrators, educators and other officials.

The response of an educational body addresses the needs as well as the concerns of learners and their parents. Educational body incorporates asynchronous learning methodologies that work pre-eminent in digital media, to enhance their ability to teach distantly. To make remote teaching and learning efficient, artificial intelligence (AI) approaches are incorporated into the traditional system of education.

Educational body have to encompass a diversified tools and system that places COVID-19 in a worldwide, in addition to the general disciplines of classroom. AI and other technological advancement has introduced numerous tools and applications for handling the pandemic situation.

This research discussed the impact of COVID and influence of AI on education and also the significance and applications of AI in education system in Saudi Arabia. In addition, this study examined the experience of Saudi’s students Universities with AI applications, (316) form the sample of this study to response it’s the Likert scale tool. The results of the study indicated that in the midst of the COVID-19 outbreak, the Government switched to online education, and positive responses were found from learners with taking all benefits of AI application. However, the lack of experience played a critical role in preventing full utilization of AI applications, which will motivate the decision maker to train the learner and the teacher to take advantage of these applications to face any pandemic in future.