A Review on the use of Artificial Intelligence Techniques in Brain MRI Analysis

2021 ◽  
Vol 2 (2) ◽  
pp. 1-15
Author(s):  
Shruti Agarwal ◽  
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Engineering ◽  
Brain Mri ◽  
Research Community ◽  
Research Subject ◽  
Engineering Research ◽  
Artificial Intelligence Techniques ◽  
The Past ◽  
History Of ◽  
Medical Domain

Over the past 20 years, the global research going on in Artificial Intelligence in applications in medication is a venue internationally, for medical trade and creating an energetic research community. The Artificial Intelligence in Medicine magazine has posted a massive amount. This paper gives an overview of the history of AI applications in brain MRI analysis to research its effect at the wider studies discipline and perceive de-manding situations for its destiny. Analysis of numerous articles to create a taxonomy of research subject matters and results was done. The article is classed which might be posted between 2000 and 2018 with this taxonomy. Analyzed articles have excessive citations. Efforts are useful in figuring out popular studies works in AI primarily based on mind MRI analysis throughout specific issues. The biomedical prognosis was ruled by way of knowledge engineering research in its first decade, whilst gadget mastering, and records mining prevailed thereafter. Together these two topics have contributed a lot to the latest medical domain.

scholarly journals Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

2020 ◽  
Vol 10 (18) ◽  
pp. 6553
Author(s):  
Sabrina Azzi ◽  
Stéphane Gagnon ◽  
Alex Ramirez ◽  
Gregory Richards
Keyword(s):  
Artificial Intelligence ◽  
Chronic Care ◽  
Review Paper ◽  
Research Community ◽  
Patient Needs ◽  
Care Needs ◽  
Healthcare Applications ◽  
Medical Specialties ◽  
The Past ◽  
Promising Application

Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs.

Beginnings

2000 ◽  
Vol 31 (1) ◽  
pp. 2-4
Author(s):  
Judith T. Sowder
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
History Of Mathematics ◽  
Research Community ◽  
Half Century ◽  
The Past ◽  
Forthcoming Book ◽  
Past Half Century ◽  
History Of ◽  
Past Half

The beginning of a new year as well as the threshold of a new century and a new millennium seem appropriate times to take stock of where we have been and where we are going as a mathematics education research community. We have accomplished a great deal in the past half century of our existence, and I for one look forward to reading the forthcoming book on the history of mathematics education, edited by Jeremy Kilpatrick and George Stanic. That book will review for us our progress thus far, but what are the challenges we now face? This question will be addressed in various ways at various gatherings in the coming year, and new agendas will result from those discussions.

scholarly journals Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Isabel M. del Águila ◽  
José Palma ◽  
Samuel Túnez
Keyword(s):  
Software Engineering ◽  
Knowledge Engineering ◽  
Lessons Learned ◽  
Historical Evolution ◽  
The Past ◽  
Current State ◽  
Comparative Review ◽  
History Of ◽  
Positive Experiences ◽  
Software Development Methodologies

We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one.

scholarly journals Artificial Intelligence along the New Silk Road

2020 ◽  
pp. 240-254
Author(s):  
Lynda Hardman
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
International Collaboration ◽  
Research Community ◽  
Current Situation ◽  
Silk Road ◽  
Diplomatic Relations ◽  
The Past ◽  
The Usa

Chapter 13 gives an impression of the development of the relatively young AI and computer science fields in Europe and China and how the current situation has developed over the past twenty years, where European and Chinese researchers are equal colleagues on an international stage and where diplomatic relations between the USA and China on the international stage have consequences felt directly by European AI researchers in their labs. In what ways are AI researchers in China and Europe competitors with each other, for example in terms of the global shortage of trained AI researchers and practitioners? At the same time, the AI research community collaborates globally, so how can we ensure that the field continues to benefit from open international collaboration?

New Results and Problems in Medical Stratosphere Research

1943 ◽  
Vol 47 (388) ◽  
pp. 113-117
Author(s):  
H. Strughold
Keyword(s):  
Long Range ◽  
Animal Species ◽  
Technical Skill ◽  
Human Organism ◽  
Engineering Research ◽  
The Past ◽  
History Of

Flight is the most 'perfect and unconstrained form of animal motion; it is also the most widespread, since it offers the most favourable conditions of survival in the struggle for existence. Animal species losing the power of flight, are an easy prey for their enemies, and speedily become extinct.Man, having achieved the power of mechanical flight by technical skill, has now introduced the art of flying in his own struggle for existence, as abundantly proved by the history of the past thirty years. Research, and not engineering research alone, has stood in the forefront of this development: filling the rôle of the advanced reconnaissance unit in development, experimentation, and the tactical application of the power of flight.Man, aircraft-borne, now flies higher (record altitude 17,000 m.), faster (speed record 755 km./h.), and farther (long-range distance record over 12,000 km.), than any other animal. This raises a query as to the effect of flight on the human organism.

Strategic Utilization of Data Mining

2005 ◽  
pp. 2638-2642
Author(s):  
Chandra S. Amaravadi
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Support ◽  
Information Systems ◽  
Relational Databases ◽  
Online Analytical Processing ◽  
Artificial Intelligence Techniques ◽  
The Past ◽  
Analytical Processing

In the past decade, a new and exciting technology has unfolded on the shores of the information systems area. Based on a combination of statistical and artificial intelligence techniques, data mining has emerged from relational databases and Online Analytical Processing as a powerful tool for organizational decision support (Shim et al., 2002).

The Use of Artificial Intelligence Techniques and Applications in the Medical Domain

2011 ◽  
pp. 57-74
Author(s):  
Adi Armoni
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Expert Systems ◽  
Surgical Procedures ◽  
Medical Applications ◽  
General Review ◽  
Artificial Intelligence Techniques ◽  
Medical Domain

In recent years we have witnessed sweeping developments in information technology. Currently, the most promising and interesting domain seemed to be the artificial intelligence. Within this field we see now a growing interest in the medical applications. The purpose of this article is to present a general review of the main areas of artificial intelligence and its applications to the medical domain. The review will focus on artificial intelligence applications to radiology, robotically-operated surgical procedures and different kinds of expert systems.

The Use of Artificial Intelligence Techniques and Applications in the Medical Domain

2011 ◽  
pp. 129-148
Author(s):  
Adi Armoni
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Expert Systems ◽  
Surgical Procedures ◽  
Medical Applications ◽  
General Review ◽  
Artificial Intelligence Techniques ◽  
Medical Domain

In recent years we have witnessed sweeping developments in information technology. Currently, the most promising and interesting domain seemed to be the artificial intelligence. Within this field we see now a growing interest in the medical applications. The purpose of this article is to present a general review of the main areas of artificial intelligence and its applications to the medical domain. The review will focus on artificial intelligence applications to radiology, robotically-operated surgical procedures and different kinds of expert systems.

Women’s element in Dagestan’s Sufizm

2020 ◽  
Vol 2020 (12-2) ◽  
pp. 264-272
Author(s):  
Khizri Alibekov
Keyword(s):  
Research Subject ◽  
The Past ◽  
History Of ◽  
Characteristic Features

This article is the research of women’s element of Dagestan’s Sufizm for the last two centuries. It traces the role and significance of women in sufizm over the past two centuries. An analysis of research subject revealed that the history of women in Dagestan sufizm can be conditionally classified into three periods, each of which has its own characteristic features.

Intelligent Expert Decision Support Systems

2021 ◽  
pp. 510-531
Author(s):  
Abdel-Badeeh M. Salem ◽  
Tetiana Shmelova
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support Systems ◽  
Knowledge Engineering ◽  
Support Systems ◽  
Case Based Reasoning ◽  
Web Based ◽  
Engineering Research ◽  
New Generation ◽  
Application Developers

In this chapter, the authors present Intelligent Expert Decision Support Systems (IEDSSs) technology and conceptual models of Expert systems(ES) for Human-Operator (H-O) of different areas and Air Navigation System (ANS) too. The authors demonstrate some interesting applications of IEDSS. Intelligent Expert Decision Support Systems technology is a challenging field that has witnessed great advances in the last few years. Artificial intelligence (AI) theories and approaches receive increasing attention within this emerging technology .Researchers have been used the AI concepts and theories to develop a robust generation of IEDSSs. Moreover, the convergence of AI technologies and web technologies (WT) is enabling the creation of a new generation of web-based IEDSSs for all domains and tasks. This chapter discusses the AI methodologies and techniques for developing the IEDSSs. Two most popular paradigms are discussed namely; case-based reasoning and ontological engineering. Moreover, the chapter addresses the challenges faced by the application developers and knowledge engineers in developing and deploying AI-based expert decision support systems. In addition, the chapter presents some examples of ES by the author and colleagues at National Aviation University, Ukraine and some cases of IEDSSs developed by the author and his colleagues at Artificial intelligence and Knowledge Engineering Research Labs, Ain Shams University, AIKE Labs-ASU, Cairo, Egypt.

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