Emerging Trends in Artificial Intelligence

2020 ◽  
pp. 357-365
Author(s):  
S. Madhuri Paradesi
Keyword(s):  
Artificial Intelligence ◽  
Emerging Trends

Emerging Trends of Artificial Intelligence in South Asia and its Implications for Pakistan

2019 ◽  
Author(s):  
Shaza Arif
Keyword(s):  
Artificial Intelligence ◽  
South Asia ◽  
South Asian ◽  
Counter Measures ◽  
China And India ◽  
Emerging Trends ◽  
Military Modernization ◽  
Offensive Realism ◽  
Strategic Balance ◽  
Full Swing

Artificial Intelligence (AI) has emerged as a breakthrough technology which is astonishingly impressive. Major world powers are rapidly integrating AI in their military doctrines. This trend of militarization of AI can be seen in the South Asian region as well. Following the theoretical approach of offensive realism, China and India are in full swing to revolutionize their militaries with this emerging trend in order to accumulate maximum power and to satisfy their various interests. Consequently, Indian military modernization has the potential to provoke Pakistan to take counter measures. Pakistan is already encountering a number of challenges in economic sector and will face the strenuous task of accommodating a handsome financial share for the development of its AI capabilities. South Asia is a very turbulent region characterized by arch rivals who are also nuclear powers and have repeatedly indulged in various crises over the years. Introduction of AI in South Asia will have significant repercussions as it will trigger an arms race and at the same time disturb the strategic balance in the region.

The Development and Research Trends of Artificial Intelligence in Neuroscience: A Scientometric Analysis in CiteSpace

2013 ◽  
Vol 718-720 ◽  
pp. 2068-2073 ◽  
Author(s):  
Gan Ping Ma
Keyword(s):  
Artificial Intelligence ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Research Trends ◽  
Scientometric Analysis ◽  
Research Fields ◽  
Emerging Trends ◽  
Neuroscience Research ◽  
Tight Connection ◽  
Research Frontiers

Artificial intelligence (AI) is an interdiscipline that aims to create and enhance the intelligence of machines and robots. Neuroscience has a tight connection with AI, which is also one of the earliest research fields that neuroscience attempted to carry out. This paper focused on the development and research trends of AI in neuroscience with the help of a latest scientometric tool, CiteSpace II. It allowed us to grasp the research frontiers and trends of AI in neuroscience through the analysis of data concerning AI and neuroscience between 1990 and 2012. We found that cluster #5 heart rate variability was most likely to be the emerging trends and some technologies will be more frequently used in neuroscience research.

scholarly journals Implications of artificial intelligence for bushfire management

2021 ◽  
Vol 10.47389/36 (No 1) ◽  
pp. 84-91
Author(s):  
Seyed Ashkan Zarghami ◽  
Jantanee Dumrak
Keyword(s):  
Artificial Intelligence ◽  
Natural Environment ◽  
Effective Management ◽  
Future Evolution ◽  
Emerging Trends ◽  
The Future ◽  
Management Context

A country’s history and development can be shaped by its natural environment and the hazards it faces. As a response to the threat of novel and unexpected bushfire disasters, scholars and practitioners have turned to the area of artificial intelligence. This paper explores the underlying principles of artificial intelligence tools and to investigate how these tools have been used to mitigate the risks of catastrophic bushfires. In doing so, this research provides an overview of applications of artificial intelligence tools to enhance effective management of bushfires through preparedness capability, responding capability and recovery capability. The future evolution of tools in artificial intelligence is discussed in the bushfire management context based on emerging trends.

Artificial Intelligence-a Paradigm shift in Health Care Management

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
Medical Procedures ◽  
Surgical Robots ◽  
New Developments ◽  
Current State ◽  
Emerging Trends ◽  
Robot Systems ◽  
Operative Planning ◽  
Applications Of Ai

Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation, and robotic intervention. In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. It ends with summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery. Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medical procedures. The technology is also known as computer-aided surgery and robot-assisted surgery. This paper reviews the key capabilities of AI to help surgeons understand and critically evaluate new AI applications and to contribute to new developments in the field of Neuro Surgery.

scholarly journals Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health System ◽  
Scoping Review ◽  
Predictive Analytics ◽  
Digital Health ◽  
Shared Responsibility ◽  
Compassionate Care ◽  
Health Technologies ◽  
Emerging Trends ◽  
Research Questions

BACKGROUND Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. OBJECTIVE This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. METHODS Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. RESULTS A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. CONCLUSIONS Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. INTERNATIONAL REGISTERED REPORT RR2-10.2196/17490

scholarly journals A Review of Literature on Human Behaviour and Artificial Intelligence: Contributions Towards Knowledge Management

2021 ◽  
Vol 19 (2) ◽  
pp. pp165-179
Author(s):  
Elizabeth Real de Oliveira ◽  
Pedro Rodrigues
Keyword(s):  
Artificial Intelligence ◽  
Predictive Analytics ◽  
Human Behaviour ◽  
Academic Journal ◽  
Organizational Behaviour ◽  
Current State ◽  
Emerging Trends ◽  
R Programming ◽  
State Of Research ◽  
Meta Analyses

The main purpose of this research paper is to understand how artificial intelligence and machine learning applied to human behaviour has been treated, both theoretically and empirically, over the last twenty years, regarding predictive analytics and human organizational behaviour analysis. To achieve this goal, the authors performed a systematic literature review, as proposed by Tranfield, Denyer and Smart (2003), on selected databases and followed the PRISMA framework (Preferred Reporting Items for Systematic reviews and Meta-Analyses). The method is particularly suited for assessing emerging trends within multiple disciplines and therefore deemed the most suitable method for the purposes of this paper, which intends to survey and select papers according to their contribute towards theory building. By mapping what is known, this review will lay the groundwork, providing a timely insight into the current state of research on human organisational behaviour and its applications. A total of 17795 papers resulted from the application of the search equations. The papers’ abstracts were screened according to the inclusion / exclusion criterions which resulted in 199 papers for analysis. The authors have analysed the papers through VOSviewer software and R programming statistical computing software. This review showed that 60% of the research undertaken in the field has been done in the last three and a half years and there is no prominent author or academic journal, showing the emergence and the novelty of this research. The other key finds of the research relate to the evolution of the concept, from data-driven (hard) towards emotions-driven (soft) organisations.

scholarly journals Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review

10.2196/17490 ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. e17490 ◽  
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Education Policy ◽  
Scoping Review ◽  
Digital Health ◽  
Clinical Care ◽  
Electronic Database ◽  
Health Technologies ◽  
Care Education ◽  
Emerging Trends ◽  
Briefing Paper

Background It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital health technologies may influence the relationship between nurses and patients. Objective The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence–driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond. Methods Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized. Results Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020. Conclusions A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses’ delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders. International Registered Report Identifier (IRRID) DERR1-10.2196/17490

scholarly journals Artificial Intelligence in Healthcare: 21st century age of rifles - A bibliometric analysis

2021 ◽  
Vol 16 (4) ◽  
pp. 274-281
Author(s):  
R K Prema ◽  
M Kathiravan ◽  
Asmat Ara Shaikh
Keyword(s):  
Artificial Intelligence ◽  
Bibliometric Analysis ◽  
21St Century ◽  
Data Analytics ◽  
Healthcare Professionals ◽  
Healthcare Sector ◽  
Future Health ◽  
Information Product ◽  
Emerging Trends ◽  
Health Need

In the 21st century data, itself are information, product, and goods. The pandemic situation has given new eyes to the old invention to effectively bridge the gap between history, happenings, and technology as well as past and future. Health is requisite and every one of us would have placed our footstep one way or the another in the healthcare sector. The demand for healthcare professionals is also increasing in our country with an increasing population. To address the health need of society, this paper attempts to exhibit the studies captured on these two broad areas in the healthcare sector with a systematic literature review of bibliometric analysis.  This paper will bring out the technological invention, its implications in the 21st century, relevance in the covid 19 pandemic situation, research, and facts explored in this area. Humans are the inventor and users of technology: the good we use the great will be the outcome: It all depends. (*The paper was presented at the 2nd Conference on Business Data Analytics: Innovation in emerging trends in management data analytics. Apeejay School of Management, Dwarka, Delhi, India. November 2021)

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