scholarly journals Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study

2020 ◽  
Author(s):  
Md Mahbub Hossain ◽  
Shah Akib Sarwar ◽  
E. Lisako J. McKyer ◽  
Ping Ma
Keyword(s):  
Artificial Intelligence ◽  
Vaccine Development ◽  
Early Stage ◽  
Clinical Care ◽  
Public Health Research ◽  
Bibliometric Study ◽  
Stage Of Development ◽  
Epidemiological Characteristics ◽  
Research Domains ◽  
Applications Of Ai

The novel coronavirus disease (COVID-19) pandemic has impacted health and wellbeing globally. To strengthen preventive and clinical care amid this pandemic, technological innovations like artificial intelligence (AI) are increasingly used in different contexts. This bibliometric study aimed to assess the current scholarly development and prominent research domains in applications of AI technologies in COVID-19 research. A total of 105 articles were retrieved from MEDLINE database that emphasized on the use of AI in the context of COVID-19. Most articles had multiple authors with a collaboration index of 7.18. Moreover, most of the articles were produced from the USA (22.86%) and China (21.9%), whereas developing countries were underrepresented among the contributing nations. Furthermore, several research domains were identified, including prevention and control, diagnostics, epidemiological characteristics, therapeutics, psychological conditions, and different areas of data sciences related to COVID-19. The current bibliometric evidence shows the early stage of development in this field, which necessitates equitable applications of AI in COVID-19 research emphasizing on health disparities, socio-legal issues, vaccine development, and applied public health research in this pandemic.

scholarly journals DETEKSI DINI DEMAM BERDARAH DENGUE DENGAN PEMERIKSAAN ANTIGEN NS1

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Mayer F. Wowor
Keyword(s):  
Nucleic Acids ◽  
Acute Phase ◽  
Vaccine Development ◽  
Early Stage ◽  
Serological Test ◽  
Clinical Care ◽  
Dengue Infection ◽  
Diagnostic Methods ◽  
Sample Collection ◽  
Ns1 Antigen

Abstract: Efficient and accurate diagnosis of dengue is of primary importance for clinical care, surveillance activities, outbreak control, pathogenesis, academic research, vaccine development, and clinical trials. Laboratory diagnostic methods for confirming dengue virus infection may involve detection of the viruses, viral nucleic acids, antigens and antibodies, or a combination of these techniques. After the onset of illness, the virus can be detected in serum, plasma, circulating blood cells, and other tissues for 4–5 days. During the early stage of the disease, virus isolation and the detection of viral nucleic acids or antigens, can be used to confirm the diagnosis of dengue infection. NS1 antigen appears as early as day 1 after the onset of fever, and declines to undetectable levels after day 5–6. At the end of the acute phase of infection, a serological test is the method of choice for diagnosis. A range of laboratory diagnostic methods has been developed to support patient management and disease control. The choice of diagnostic method depends on the purpose for which the test is done, available  laboratory facilities and technical expertise, costs, and the time of sample collection. Keywords: laboratory diagnostic methods, acute phase, NS1 antigen     Abstrak: Diagnosis dengue yang efisien dan akurat adalah hal yang paling penting  untuk proses perawatan di klinik, aktivitas surveilens, kontrol penularan penyakit, patogenesis, penelitian akademik, pengembangan vaksin dan percobaan-percobaan klinis. Metode diagnosis laboratorium untuk mengonfirmasi adanya infeksi virus dengue dapat meliputi deteksi virus dengue, asam nukleat virus, antigen dan antibodi, atau kombinasi dari teknik-teknik tersebut. Setelah serangan penyakit, virus dapat dideteksi dalam serum, plasma, sel-sel darah yang bersirkulasi, dan di jaringan lain dalam waktu 4-5 hari. Selama tahap awal dari penyakit, isolasi virus, asam nukleat virus, atau deteksi antigen dapat digunakan untuk diagnosis infeksi. Antigen NS1 muncul pada hari pertama setelah serangan demam dan menurun ke tingkat tidak terdeteksi setelah 5-6 hari. Pada akhir fase akut infeksi, serologi adalah metode pilihan untuk diagnosis. Metode diagnosis laboratorium telah berkembang untuk menunjang penanganan pasien dan kontrol penyakit. Pilihan untuk metode diagnosis bergantung pada tujuan tes dilakukan, fasilitas laboratorium dan tenaga ahli yang tersedia, biaya, dan saat sampel dikumpulkan. Kata kunci: metode diagnosis laboratorium, fase akut, antigen NS1

scholarly journals Design of Customized Mobile Application for Patient Adherence to Oral Anticancer Medications Utilizing User-Centered Design

2017 ◽  
Vol 41 (1) ◽  
Author(s):  
Grace Hsu ◽  
Stephanie Crawford ◽  
Gennaro Paolella ◽  
Sandra Cuellar ◽  
Scott Wirth ◽  
...  
Keyword(s):  
Mobile Application ◽  
Patient Adherence ◽  
Early Stage ◽  
Clinical Care ◽  
User Centered Design ◽  
Iterative Design ◽  
Stage Of Development ◽  
Low Health Literacy ◽  
Medical Concepts ◽  
User Centered

Oral anticancer medications (OAMs) can be challenging for patients due to their complex regimen. The goal of this research is to design a customized mobile application that can empower low health literacy patients taking OAMs and increase adherence and satisfaction with clinical care. A User-Centered Design approach was implemented by consulting with clinicians and patients at an early stage of development. Animations were incorporated to distill complex medical concepts and information. An iterative design process ensures that the tool is customized for patient engagement.

scholarly journals Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance

2021 ◽  
Vol 3 ◽  
Author(s):  
Quentin Haas ◽  
Nikolay Borisov ◽  
David Vicente Alvarez ◽  
Sohrab Ferdowsi ◽  
Leonhard von Mayenn ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Vaccine Development ◽  
Early Stage ◽  
Pharmaceutical Companies ◽  
Vaccine Production ◽  
Future Potential ◽  
Overall Performance ◽  
Contemporary Situation ◽  
The Impact

The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intelligence (AI), we estimated the risks associated with all types of COVID-19 vaccine during the early phase of vaccine development. We then performed a postmortem analysis of the probability and the impact matrix calculations by comparing the 2020 prognosis to the contemporary situation. We used the Risklick AI to evaluate the risks and their incidence associated with vaccine development in the early stage of the COVID-19 pandemic. Our analysis revealed the diversity of risks among vaccine technologies currently used by pharmaceutical companies providing vaccines. This analysis highlighted the current and future potential pitfalls connected to vaccine production during the COVID-19 pandemic. Hence, the Risklick AI appears as an essential tool in vaccine development for the treatment of COVID-19 in order to formally anticipate the risks, and increases the overall performance from the production to the distribution of the vaccines. The Risklick AI could, therefore, be extended to other fields of research and development and represent a novel opportunity in the calculation of production-associated risks.

scholarly journals Artificial intelligence and the conduct of literature reviews

2021 ◽  
pp. 026839622110482
Author(s):  
Gerit Wagner ◽  
Roman Lukyanenko ◽  
Guy Paré
Keyword(s):  
Artificial Intelligence ◽  
Early Stage ◽  
Design Science ◽  
Science Research ◽  
Stage Of Development ◽  
Systems Research ◽  
Traditional Research ◽  
Information Systems Research ◽  
Literature Reviews ◽  
Recent Trends

Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines. To familiarize researchers with some of the recent trends in this area, we outline how AI can expedite individual steps of the literature review process. Considering that the use of AI in this context is in an early stage of development, we propose a comprehensive research agenda for AI-based literature reviews (AILRs) in our field. With this agenda, we would like to encourage design science research and a broader constructive discourse on shaping the future of AILRs in research.

scholarly journals How Are You Feeling Today?

2021 ◽  
Vol 19 (4) ◽  
pp. 448-457
Author(s):  
Michael Deerwater ◽  
Robbie Scarff
Keyword(s):  
Artificial Intelligence ◽  
Prior Knowledge ◽  
Facial Expressions ◽  
Early Stage ◽  
Writing Skills ◽  
Physiological Data ◽  
Collaborative Approach ◽  
Stage Of Development ◽  
The Common ◽  
First Time

This piece of creative writing explores the possible impact of emotional artificial intelligence (EAI), a variety of technologies which have the common aim of inferring human emotion from outward expressions such as facial expressions, vocal patterns, text, and physiological data. It is difficult to determine exactly how EAI might affect people when thinking in the abstract. We therefore took a collaborative approach, combining the imagination and writing skills of a Sci-Fi writer, with the knowledge base of an academic studying EAI, in order to create a story which makes the potential consequences of EAI real in a tangible way. Some readers may have prior knowledge of EAI, and for you we hope this piece can offer new insights or different perspectives to consider. However, we suspect many readers will not have heard of EAI and be considering it here for the first time. For you, we hope to provide a story which you can truly immerse yourself in, which can act as a prompt for you to begin to consider your views on this technology. EAI may be at a relatively early stage of development, but we do not anticipate it being long before it is a widespread technology. Our prompt as writers was to create an imagined surveillance future. Our invitation to you as readers is to not only imagine it, but ponder it, live in it, question it, and, ultimately, shape it. 

scholarly journals Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics

2021 ◽  
Vol 11 (9) ◽  
pp. 886
Author(s):  
Ken Asada ◽  
Masaaki Komatsu ◽  
Ryo Shimoyama ◽  
Ken Takasawa ◽  
Norio Shinkai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Vaccine Development ◽  
High Rate ◽  
Great Success ◽  
Imaging Analysis ◽  
Future Directions ◽  
Public Health Decision ◽  
Health Decision Making ◽  
Health Decision ◽  
Applications Of Ai

The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech companies, but also researchers, have directed their efforts toward overcoming this threat. The use of artificial intelligence (AI) has recently surged internationally and has been applied to diverse aspects of many problems. The benefits of using AI are now widely accepted, and many studies have shown great success in medical research on tasks, such as the classification, detection, and prediction of disease, or even patient outcome. In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been reported. Hence, in this review, we summarize the latest studies that focus on medical imaging analysis, drug discovery, and therapeutics such as vaccine development and public health decision-making using AI. This survey clarifies the advantages of using AI in the fight against COVID-19 and provides future directions for tackling the COVID-19 pandemic using AI techniques.

scholarly journals A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

2022 ◽  
Vol 54 (8) ◽  
pp. 1-32
Author(s):  
Jianguo Chen ◽  
Kenli Li ◽  
Zhaolei Zhang ◽  
Keqin Li ◽  
Philip S. Yu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Drug Development ◽  
Medical Image ◽  
Vaccine Development ◽  
Scientific Research ◽  
Image Inspection ◽  
Potential Applications ◽  
Detection And Diagnosis ◽  
Applications Of Ai

The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the pandemic. As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic. In this survey, we investigate the main scope and contributions of AI in combating COVID-19 from the aspects of disease detection and diagnosis, virology and pathogenesis, drug and vaccine development, and epidemic and transmission prediction. In addition, we summarize the available data and resources that can be used for AI-based COVID-19 research. Finally, the main challenges and potential directions of AI in fighting against COVID-19 are discussed. Currently, AI mainly focuses on medical image inspection, genomics, drug development, and transmission prediction, and thus AI still has great potential in this field. This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19 with the goal of inspiring researchers to continue to maximize the advantages of AI and big data to fight COVID-19.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

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