The advancement of technology remained an immersive interest for humankind throughout the past decades. Tech enterprises offered a stream of innovation to address the universal healthcare concerns. The novel coronavirus holds a substantial foothold of planet earth which is combatted by digital interventions across afflicted geographical boundaries and territories. This study aims to explore the trends of modern healthcare technologies and Artificial Intelligence (AI) during COVID-19 crisis, define the concepts and clinical role of AI in the mitigation of COVID-19, investigate and correlate the efficacy of AI-enabled technology in medical imaging during COVID-19 and determine advantages, drawbacks, and challenges of artificial intelligence during COVID-19 pandemic. The paper applied systematic review approach using a deliberated research protocol and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. Digital technologies can coordinate COVID-19 responses in a cascade fashion that extends from the clinical care facility to the exterior of the pending viral epicenter. With cases of healthcare robotics, aerial drones, and the internet of things as evidentiary examples. PCR tests and medical imaging are the frontier diagnostics of COVID-19. Computed tomography helped to correct the accuracy variation of PCR tests at a clinical sensitivity of 98%. Artificial intelligence can enable autonomous COVID-19 responses using techniques like machine learning. Technology could be an endless system of innovation and opportunities when sourced effectively. Scientists can utilize technology to resolve global concerns challenging the history of tangible possibility. Digital interventions have enhanced the responses to COVID-19, magnified the role of medical imaging amid the COVID-19 crisis and have exposed healthcare professionals to the opportunity of contactless care.

Objective: The Radiology department played a crucial role in detecting and following up with the COVID-19 disease during the pandemic. The purpose of this review was to highlight and discuss the role of each imaging modality, in the radiology department, that can help in the current pandemic and to determine the challenges faced by staff and how to overcome them. Materials and Methods: A literature search was performed using different databases, including PubMed, Google scholar, and the college electronic library to access 2020 published related articles. Results: A chest computed tomogram (CT) was found to be superior to a chest radiograph, with regards to the early detection of COVID-19. Utilizing lung point of care ultrasound (POCUS) with pediatric patients, demonstrated excellent sensitivity and specificity, compared to a chest radiography. In addition, lung ultrasound (LUS) showed a high correlation with the disease severity assessed with CT. However, magnetic resonance imaging (MRI) has some limiting factors with regard to its clinical utilization, due to signal loss. The reported challenges that the radiology department faced were mainly related to infection control, staff workload, and the training of students. Conclusion: The choice of an imaging modality to provide a COVID-19 diagnosis is debatable. It depends on several factors that should be carefully considered, such as disease stage, mobility of the patient, and ease of applying infection control procedures. The pros and cons of each imaging modality were highlighted, as part of this review. To control the spread of the infection, precautionary measures such as the use of portable radiographic equipment and the use of personal protective equipment (PPE) must be implemented.

This study aimed to assess the effect of extending pre-scan written instructions to patients undergoing head magnetic resonance imaging (MRI) examinations on motion artifacts. A controlled study was conducted in King Fahad Hospital at the Department of Radiology. A total of 100 patients were involved: 50 received only routine oral hospital instructions (control group), and another 50 received pre-scan extended written instructions besides routine oral hospital instructions (intervention group). The head MRI images were assessed regarding motion artifacts. Informed consent was obtained from all patients included in the study. The incidence of motion artifacts was significantly less in the intervention group than in the control group, 10% and 58%, respectively (p-value=0.001). The motion artifacts decreased significantly in the intervention group compared to the control group. Extending written information before an MRI scan could significantly reduce motion artifacts and improve image quality.

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Background It is necessary to determine what motivates students to pursue a particular specialty of their choosing to maintain a balance of medical practitioners from various disciplines. Objective The study aims to assess factors influencing undergraduate students of Applied Medical Sciences in choosing a specialty or discipline. Methods This cross-sectional study was conducted among first-year students of the faculty of applied medical sciences at Taibah University. One hundred and twenty-five participants were enrolled in the study. The students were asked to respond and complete the designed 9-item questionnaire. The Statistical Package for the Social Sciences (BM SPSS Statistics for Windows, Version 23.0, Armonk, NY: IBM Corp.) was used to analyze the data. A comparison between departments of the faculty was carried out. Results 125 participants were satisfied with their current faculty or discipline. They stated that medicine was the first choice (43.2%), followed by clinical nutrition (11.2%), dentistry (8%), diagnostic radiology (7.2%), and clinical laboratory (5.6%). The most important factors that affect students’ choice of discipline were helping patients and the community (32.8%), personal desire (30.4%), personal desire and helping patients (22.4%), and job opportunity and prestige (9.5%), with gender variations. Family enforcement and finances were less frequent factors affecting students’ specialty preferences. Conclusion The human medicine specialization was the first choice for most female and male undergraduate students who entered the faculty of applied medical sciences. Furthermore, the most influencing factor affecting students’ choices was helping patients and the community.