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 Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions

2021 ◽  
Author(s):  
Rohil Malpani ◽  
Christopher W. Petty ◽  
Neha Bhatt ◽  
Lawrence H. Staib ◽  
Julius Chapiro
Keyword(s):  
Artificial Intelligence ◽  
Clinical Practice ◽  
Language Processing ◽  
Vascular Imaging ◽  
Future Directions ◽  
Current State ◽  
The Future ◽  
Procedural Planning ◽  
Applications Of Ai

AbstractThe future of radiology is disproportionately linked to the applications of artificial intelligence (AI). Recent exponential advancements in AI are already beginning to augment the clinical practice of radiology. Driven by a paucity of review articles in the area, this article aims to discuss applications of AI in nononcologic IR across procedural planning, execution, and follow-up along with a discussion on the future directions of the field. Applications in vascular imaging, radiomics, touchless software interactions, robotics, natural language processing, postprocedural outcome prediction, device navigation, and image acquisition are included. Familiarity with AI study analysis will help open the current “black box” of AI research and help bridge the gap between the research laboratory and clinical practice.

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 Reflections on the Use of AI in the Legal Domain

2021 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Liane Colonna
Keyword(s):  
Artificial Intelligence ◽  
Legal Reasoning ◽  
Current State ◽  
Legal Context ◽  
Legal Domain ◽  
Applications Of Ai ◽  
Critical Reflections

Abstract This paper examines the field of Artificial Intelligence (AI) and Law and offers some broad reflections on its current state. First, the paper introduces the concept of AI, paying particular attention to the distinction between hard and soft AI. Next, it considers how AI can be used to support (or replace!) legal work and legal reasoning. The paper goes on to explore applications of AI in the legal domain and concludes with some critical reflections on the use of AI in the legal context.

scholarly journals Patent Activity of Domestic and Foreign Applicants as an Indicator of Scientific and Technological Development of Russia: An Analysis of Current Statistics

2019 ◽  
Vol 13 (4) ◽  
pp. 31-40
Author(s):  
S. A. Ilina
Keyword(s):  
Technological Development ◽  
Annual Reports ◽  
Patent Activity ◽  
Current State ◽  
Emerging Trends ◽  
Technical Potential ◽  
Patent Rights ◽  
Patent Statistics ◽  
Utility Models ◽  
Scientific And Technological Development

This article presents an analysis of the patent activity of domestic and foreign applicants in Russia, based on the data from patent statistics for 2009–2018. The source of the study was the data of the annual reports of Rospatent. The purpose of this research is to identify the indicators of patent activity and their dynamics. It allows us to assess the current state of scientific and technical potential and emerging trends in the scientific and technological development of Russia. The research concerns intellectual property related to the objects of patent rights according to the Russian civil law: inventions, utility models and industrial designs. This article presents an analysis of the patent activity in Russia concerning inventions. The author revealed that in recent years there had been a decreasing interest in this type of patent rights objects from both domestic and foreign applicants, which has harmed the dynamics of patent activity indicators regarding inventions.

scholarly journals Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics

2019 ◽  
Vol 62 (7) ◽  
pp. 73-95
Author(s):  
Albert R. Efimov
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
Turing Test ◽  
Main Question ◽  
Current State ◽  
The Subject ◽  
The One ◽  
Definition Of ◽  
The Impact ◽  
And Robotics

The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. In the article, AI&R abilities and human abilities are compared in such areas as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, it is concluded in which areas AI&R’s performance is inferior to a human and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of AI&R. In such implementations, on the one hand, the “Turing wall” is removed, and on the other hand, artificial intelligence gets its physical implementation.

Humanitarian and Technological Revolution: Assessment of the State of Readiness for the Transition to a New Technological Layout

Vestnik NSUEM ◽  
2022 ◽  
pp. 55-66
Author(s):  
O. A. Zolotareva ◽  
E. S. Darda ◽  
A. V. Tikhomirova
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
The State ◽  
Social Transformations ◽  
Social Sphere ◽  
Current State ◽  
Comprehensive Information ◽  
The Social ◽  
Scientific And Technological Development ◽  
Current Heat

 In the context of the current heat of global hypercompetition for the future, technological and social transformations, the deployment of the digital economy, the scale of the penetration of artificial intelligence into all spheres of life, the formation of human-centered and other models of the economy, including the model of Society 5.0, One of the priority issues on the agenda is assessment of the state of readiness of the transition to a new technological order. In this context, the article defines the conceptual framework for monitoring the readiness of the transition to a new technological order. The main obstacles that impede the receipt of complete and comprehensive information about digital transformation in the economy and its effectiveness, the scale and consequences of the introduction of artificial intelligence and technologies of the sixth technological order in the economy and the social sphere are identified. The analysis of the current state of scientific and technological development for a number of indicators is presented.

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.

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

Sports Medicine and Artificial Intelligence: A Primer

2021 ◽  
pp. 036354652110086
Author(s):  
Prem N. Ramkumar ◽  
Bryan C. Luu ◽  
Heather S. Haeberle ◽  
Jaret M. Karnuta ◽  
Benedict U. Nwachukwu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Sports Medicine ◽  
Injury Risk ◽  
Industrial Revolution ◽  
Improve Patient Care ◽  
Great Promise ◽  
Patient Reported ◽  
Athlete Injury ◽  
Improve Patient ◽  
Applications Of Ai

Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in medicine poised to transform the field of orthopaedics and sports medicine, though widespread understanding of the fundamental principles and adoption of applications remain nascent. Recent research efforts into implementation of AI in the field of orthopaedic surgery and sports medicine have demonstrated great promise in predicting athlete injury risk, interpreting advanced imaging, evaluating patient-reported outcomes, reporting value-based metrics, and augmenting the patient experience. Not unlike the recent emphasis thrust upon physicians to understand the business of medicine, the future practice of sports medicine specialists will require a fundamental working knowledge of the strengths, limitations, and applications of AI-based tools. With appreciation, caution, and experience applying AI to sports medicine, the potential to automate tasks and improve data-driven insights may be realized to fundamentally improve patient care. In this Current Concepts review, we discuss the definitions, strengths, limitations, and applications of AI from the current literature as it relates to orthopaedic sports medicine.

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