Artificial Intelligence and technology in COVID Era

Abstract

Application of artificial intelligence (AI) in the medical field during the coronavirus disease 2019 (COVID-19) era is being explored further due to its beneficial aspects such as self-reported data analysis, X-ray interpretation, computed tomography (CT) image recognition, and patient management. This narrative review article included published articles from MEDLINE/PubMed, Google Scholar and National Informatics Center egov mobile apps. The database was searched for “Artificial intelligence” and “COVID-19” and “respiratory care unit” written in the English language during a period of one year 2019-2020. The relevance of AI for patients is in hands of people with digital health tools, Aarogya setu app and Smartphone technology. AI shows about 95% accuracy in detecting COVID-19-specific chest findings. Robots with AI are being used for patient assessment and drug delivery to patients to avoid the spread of infection. The pandemic outbreak has replaced the classroom method of teaching with the online execution of teaching practices and simulators. AI algorithms have been used to develop major organ tissue characterization and intelligent pain management techniques for patients. The Blue-dot AI-based algorithm helps in providing early warning signs. The AI model automatically identifies a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection sound pressure, and light level detection. There is now no looking back as AI and machine learning are to stay in the field of training, teaching, patient care, and research in the future.

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

“…This concise overview will enable future research in this area with clear directions/gaps. Specifically, we highlighted the data related challenges that need to be resolved to yield higher adoption of AI, as AI has already demonstrated effectiveness in many aspects related to the COVID-19 [100][101][102][103][104][105]. Thus, we summarize AI use based on actual data used/processed, AI models applied, and purpose/service achieved in COVID-19 context in Figure 14.…”

The Development of Electronic Health and Artificial Intelligence in Surgery after the SARS-CoV-2 Pandemic—A Scoping Review

“…Nevertheless, AI can supplement the surgical field after the pandemic by replacing traditional procedures with more efficient systems. Ahuja and Nair add to this point by insisting on the positive attributes of AI, such as self-reported analysis, the management of drug infusions, and image recognition [ 18 ]. Furthermore, AI algorithms have an accuracy rate of 95.2%, similar to that of humans, only that machines solve complicated relations while using enhanced judgment [ 18 ].…”

“…Ahuja and Nair add to this point by insisting on the positive attributes of AI, such as self-reported analysis, the management of drug infusions, and image recognition [ 18 ]. Furthermore, AI algorithms have an accuracy rate of 95.2%, similar to that of humans, only that machines solve complicated relations while using enhanced judgment [ 18 ]. In Addenbrooke hospital in Cambridge, England, the integration of artificial intelligence was evident, where the hospital used AI tools to predict the oxygen needs of various SARS-CoV-2 patients globally [ 19 ].…”

Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world

“…Among digital technologies, the use of AIED technology for online learning has become more popular than before to help educators to address teaching challenges such as social isolation, heavy workload and students’ lack of motivation (Westera et al, 2020 ; Zhu et al, 2020 ). During the pandemic, school administrators and teachers have been seeking better alternatives to improve their teaching, enhance students’ interactions (Ahuja & Nair, 2021 ; Kexin et al, 2020 ), and facilitate administration (Chen et al, 2020a , 2020b ). For example, intelligent tutoring systems propose automatic personalized suggestions and tasks according to learners’ profiles (Cao et al, 2021 ; Kochmar et al, 2020 ).…”

“…Overall, the rapid shift to online education during the COVID-19 pandemic has accelerated the incorporation of AI technologies into education systems around the world (Hwang et al, 2022 ). AIED applications offer effective support for teachers and students to facilitate their teaching and learning in different subject areas (e.g., language, medical education) (Ahuja & Nair, 2021 ; Liang et al, 2021 ). The way how educators teach and how students learn has been dramatically influenced by AI technologies to enhance students’ learning outcomes, achievements and attitudes in the post-pandemic world.…”