Artificial intelligence: a critical review of current applications in pancreatic imaging

2021 ◽  
Author(s):  
Maxime Barat ◽  
Guillaume Chassagnon ◽  
Anthony Dohan ◽  
Sébastien Gaujoux ◽  
Romain Coriat ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Critical Review ◽  
Pancreatic Imaging

scholarly journals Correction to: Artificial intelligence: a critical review of current applications in pancreatic imaging

2021 ◽  
Author(s):  
Maxime Barat ◽  
Guillaume Chassagnon ◽  
Anthony Dohan ◽  
Sébastien Gaujoux ◽  
Romain Coriat ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Critical Review ◽  
Pancreatic Imaging

Artificial Intelligence

2021 ◽  
pp. 1-18
Author(s):  
Bistra Konstantinova Vassileva
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Future Development ◽  
Critical Review ◽  
Data Science ◽  
Daily Lives ◽  
Societal Relevance ◽  
Responsible Manner

In recent years, artificial intelligence (AI) has gained attention from policymakers, universities, researchers, companies and businesses, media, and the wide public. The growing importance and relevance of artificial intelligence (AI) to humanity is undisputed: AI assistants and recommendations, for instance, are increasingly embedded in our daily lives. The chapter starts with a critical review on AI definitions since terms such as “artificial intelligence,” “machine learning,” and “data science” are often used interchangeably, yet they are not the same. The first section begins with AI capabilities and AI research clusters. Basic categorisation of AI is presented as well. The increasing societal relevance of AI and its rising inburst in our daily lives though sometimes controversial are discussed in second section. The chapter ends with conclusions and recommendations aimed at future development of AI in a responsible manner.

scholarly journals An Overview of Artificial Intelligence Applications in Liver and Pancreatic Imaging

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2162
Author(s):  
Nicolò Cardobi ◽  
Alessandro Dal Palù ◽  
Federica Pedrini ◽  
Alessandro Beleù ◽  
Riccardo Nocini ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Quality ◽  
Medical Image ◽  
State Of The Art ◽  
Normal Liver ◽  
Dose Administration ◽  
Liver And Pancreas ◽  
Image Quality Improvement ◽  
Medical Image Reconstruction ◽  
Pancreatic Imaging

Artificial intelligence (AI) is one of the most promising fields of research in medical imaging so far. By means of specific algorithms, it can be used to help radiologists in their routine workflow. There are several papers that describe AI approaches to solve different problems in liver and pancreatic imaging. These problems may be summarized in four different categories: segmentation, quantification, characterization and image quality improvement. Segmentation is usually the first step of successive elaborations. If done manually, it is a time-consuming process. Therefore, the semi-automatic and automatic creation of a liver or a pancreatic mask may save time for other evaluations, such as quantification of various parameters, from organs volume to their textural features. The alterations of normal liver and pancreas structure may give a clue to the presence of a diffuse or focal pathology. AI can be trained to recognize these alterations and propose a diagnosis, which may then be confirmed or not by radiologists. Finally, AI may be applied in medical image reconstruction in order to increase image quality, decrease dose administration (referring to computed tomography) and reduce scan times. In this article, we report the state of the art of AI applications in these four main categories.

scholarly journals The ethical and legal aspects of robotics: the european perspective

2019 ◽  
Vol 5 (1) ◽  
pp. 113-120
Author(s):  
Anton Vasilyev ◽  
Olga Vasilyeva
Keyword(s):  
Artificial Intelligence ◽  
Critical Review ◽  
Autonomous Robots ◽  
European Parliament ◽  
Legal Aspects ◽  
Liability Insurance ◽  
European Perspective ◽  
Legal Personality ◽  
Legal Structure ◽  
The Subject

The article is devoted to a critical review of the European Parliament Resolution of February 16, 2017 on the regulations in the field of robotics. The authors analyze the approaches of the creators of the law in terms of perception of autonomous robots as subjects of law and pay attention to the legal liability for damage caused by robots. The authors conclude that the concept of robots as the subject of law and the possibility of endowing robots with artificial intelligence with the qualities of a legal or electronic entity are arguable. First of all, the legal personality of robots raises the problem of responsibility and protection of the rights of potential victims. The resolution of the European Parliament emphasizes the need for such a legal structure that will ensure the harmonization of the interests of developers and sellers of autonomous robots, users and victims – the imposition of liability on the manufacturer or liability insurance.

scholarly journals Importance and value of Artificial Intelligence in Financial Sector – A critical Review

2021 ◽  
Vol 7 (05) ◽  
pp. 6-11
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Critical Review ◽  
Financial Services ◽  
Financial Sector ◽  
Interval Scale ◽  
Standard Questionnaire ◽  
New Models ◽  
Great Transformation

Artificial Intelligence has brought a great transformation to the financial sector by providing various opportunities for tailor made and customized services, reduction in costs and developing new models of business. Additionally, Artificial Intelligence has really boomed in past few years and many companies in different sectors have adopted it and applied in their operations. Many times, Artificial Intelligence is called as automation of the process within the sector, but a better way of usage of technology for the betterment of sector, mainly financial sector. Huge changes have been brought in financial sector through technology of artificial intelligence that created a range of innovative financial services such as intelligent consultant, intelligent lending, monitoring, and warning, as well as intelligent customer service. A sample of 175 respondents in which 62.29% “male” and 37.71% “female” has been considered by a “standard questionnaire” created on five-point interval scale.

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