scholarly journals Robotics and Artificial Intelligence in Gastrointestinal Endoscopy: Updated Review of the Literature and State of the Art

2021 ◽  
Author(s):  
Ivo Boškoski ◽  
Beatrice Orlandini ◽  
Luigi Giovanni Papparella ◽  
Maria Valeria Matteo ◽  
Martina De Siena ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastrointestinal Endoscopy ◽  
State Of The Art ◽  
Unmet Need ◽  
Diagnostic Techniques ◽  
Review Of The Literature ◽  
The Past ◽  
Wide Range ◽  
Near Future ◽  
Artificial Intelligence Systems

Abstract Purpose of Review Gastrointestinal endoscopy includes a wide range of procedures that has dramatically evolved over the past decades. Robotic endoscopy and artificial intelligence are expanding the horizons of traditional techniques and will play a key role in clinical practice in the near future. Understanding the main available devices and procedures is a key unmet need. This review aims to assess the current and future applications of the most recently developed endoscopy robots. Recent Findings Even though a few devices have gained approval for clinical application, the majority of robotic and artificial intelligence systems are yet to become an integral part of the current endoscopic instrumentarium. Some of the innovative endoscopic devices and artificial intelligence systems are dedicated to complex procedures such as endoscopic submucosal dissection, whereas others aim to improve diagnostic techniques such as colonoscopy. Summary A review on flexible endoscopic robotics and artificial intelligence systems is presented here, showing the m3ost recently approved and experimental devices and artificial intelligence systems for diagnosis and robotic endoscopy.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

Economic Sanctions in Flux: Enduring Challenges, New Policies, and Defining the Future Research Agenda

2020 ◽  
Vol 21 (4) ◽  
pp. 438-477
Author(s):  
Bryan R Early ◽  
Menevis Cilizoglu
Keyword(s):  
Research Agenda ◽  
State Of The Art ◽  
Economic Sanctions ◽  
Future Research ◽  
Factors Affecting ◽  
The Past ◽  
Future Research Agenda ◽  
Policy Tool ◽  
Wide Range ◽  
New Policies

Abstract Policymakers employ economic sanctions to deal with a wide range of international challenges, making them an indispensable foreign policy tool. While scholarship on sanctions has tended to focus on the factors affecting their success, newer research programs have emerged that explore the reasons for why sanctions are threatened and initiated, the ways they are designed and enforced, and their consequences. This scholarship has yielded a wealth of new insights into how economic sanctions work, but most of those insights are based on sanctions observations from the 20th Century. The ways that policymakers employ sanctions have fundamentally changed over the past two decades, though, raising concerns about whether historically derived insights are still relevant to contemporary sanctions policies. In this forum, the contributors discuss the scholarly and policy-relevant insights of existing research on sanctions and then explore what gaps remain in our knowledge and new trends in sanctions policymaking. This forum will inform readers on the state of the art in sanctions research and propose avenues for future research.

scholarly journals The Embeddedness of Social Sciences and Economics in Research on Resources

Resources ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 15
Author(s):  
Juan Uribe-Toril ◽  
José Luis Ruiz-Real ◽  
Jaime de Pablo Valenciano
Keyword(s):  
Social Sciences ◽  
State Of The Art ◽  
Local Development ◽  
The State ◽  
Special Issue ◽  
Continuous Review ◽  
The Past ◽  
Research Fields ◽  
Wide Range ◽  
Knowledge Area

Sustainability, local development, and ecology are keywords that cover a wide range of research fields in both experimental and social sciences. The transversal nature of this knowledge area creates synergies but also divergences, making a continuous review of the existing literature necessary in order to facilitate research. There has been an increasing number of articles that have analyzed trends in the literature and the state-of-the-art in many subjects. In this Special Issue of Resources, the most prestigious researchers analyzed the past and future of Social Sciences in Resources from an economic, social, and environmental perspective.

scholarly journals Robotics and Artificial Intelligence

2020 ◽  
Vol 10 (2) ◽  
pp. 57-78 ◽  
Author(s):  
Estifanos Tilahun Mihret
Keyword(s):  
Artificial Intelligence ◽  
At Risk ◽  
Human Beings ◽  
The Past ◽  
Near Future ◽  
And Robotics

Artificial intelligence and robotics are very recent technologies and risks for our world. They are developing their capacity dramatically and shifting their origins of developing intention to other dimensions. When humans see the past histories of AI and robotics, human beings can examine and understand the objectives and intentions of them which to make life easy and assist human beings within different circumstances and situations. However, currently and in the near future, due to changing the attitude of robotic and AI inventors and experts as well as based on the AI nature that their capacity of environmental acquisition and adaptation, they may become predators and put creatures at risk. They may also inherit the full nature of creatures. Thus, finally they will create their new universe or the destiny of our universe will be in danger.

Radiation-Associated Atheromatous Disease of the Cervical Carotid Artery: Report of Seven Cases and Review of the Literature

Neurosurgery ◽  
1989 ◽  
Vol 24 (2) ◽  
pp. 171-178 ◽  
Author(s):  
John L. D. Atkinson ◽  
Thoralf M. Sundt ◽  
Allan J. D. Dale ◽  
Terrence L. Cascino ◽  
Douglas A. Nichols
Keyword(s):  
State Of The Art ◽  
Carotid Surgery ◽  
Review Of The Literature ◽  
Postoperative Results ◽  
The Past ◽  
Number Of Patients ◽  
History Of ◽  
Physical Examinations ◽  
Reconstructive Arterial Surgery

Abstract The natural history of postirradiation extracranial cerebrovascular disease is uncertain. Previous reported cases spanning 20 years of carotid surgery are difficult to evaluate, because patients may sometimes have unspecified symptoms, physical examinations, postoperative results, and follow-up. Also, the evolution of carotid surgery over the past two decades makes it impossible to compare earlier operative technique with the state-of-the-art technique of today. Our series of 7 patients underwent 9 carotid endarterectomies with an average follow-up period of 46 months. The number of patients is small, and although technically this is a more difficult operation, we feel the results are favorable and may be comparable with endarterectomy procedures in nonirradiated patients. These patients should be approached as if radiation changes are not a major factor when they are considered for reconstructive arterial surgery.

Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20)

2021 ◽  
Vol 46 (2) ◽  
pp. 28-29
Author(s):  
Benoît Vanderose ◽  
Julie Henry ◽  
Benoît Frénay ◽  
Xavier Devroey
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Engineering Education ◽  
State Of The Art ◽  
Future Directions ◽  
The Past ◽  
Software Engineering Education ◽  
Current State ◽  
Amount Of Knowledge ◽  
Software Engineering Tools

In the past years, with the development and widespread of digi- tal technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. The EASEAI workshop series addresses that challenge by look- ing at software engineering, education, and arti cial intelligence research elds to explore how they can be combined. Speci cally, this workshop brings together researchers, teachers, and practi- tioners who use advanced software engineering tools and arti cial intelligence techniques in the education eld and through a trans- generational and transdisciplinary range of students to discuss the current state of the art and practices, and establish new future directions. More information at https://easeai.github.io.

scholarly journals AI Accidents: An Emerging Threat

2021 ◽  
Author(s):  
Zachary Arnold ◽  
◽  
Helen Toner
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Learning Systems ◽  
Wide Range ◽  
Policy Suggestions ◽  
The Future ◽  
Modern Machine ◽  
Artificial Intelligence Systems

As modern machine learning systems become more widely used, the potential costs of malfunctions grow. This policy brief describes how trends we already see today—both in newly deployed artificial intelligence systems and in older technologies—show how damaging the AI accidents of the future could be. It describes a wide range of hypothetical but realistic scenarios to illustrate the risks of AI accidents and offers concrete policy suggestions to reduce these risks.

Features of hip fractures diagnostics among children (literature review)

2021 ◽  
pp. 17-25
Author(s):  
Dmitry O. GORELKIN ◽  
Victor N. MYALIN
Keyword(s):  
Hip Fractures ◽  
Growth And Development ◽  
Pediatric Patients ◽  
Clinical Manifestations ◽  
Diagnostic Errors ◽  
Diagnostic Techniques ◽  
The Past ◽  
Development Processes ◽  
Diagnostic Capabilities ◽  
Near Future

We reviewed domestic and foreign scientific works published in public electronic specialized medical journals devoted to the study of the issues of diagnosing hip fractures of various localization among children. Over the past fifty years, the diagnostic capabilities in traumatology and orthopedics have expanded significantly. However, the child’s musculoskeletal system has many features due to the growth and development processes of the child’s body. In this regard, the course of various pathological processes and their clinical manifestations can have many variations. That is the reason that some clinical forms of femoral fracture among pediatric patients can still cause serious difficulties, which leads to diagnostic errors. We consider the clinical manifestations of possible forms of hip fractures among children, the currently relevant methods of instrumental research, such as radiography, computed tomography, ultrasonography and others methods that contribute to the diagnosis of these forms, as well as promising sector of diagnostic techniques development that in the near future can be able to significantly simplify the diagnosis, in particular, methods of computer modeling.

Simultaneous Interpreting (SI): the Holy Grail of Artificial Intelligence – An SI Practitioner’s Perspective

2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Ailing Zhang
Keyword(s):  
Artificial Intelligence ◽  
Computer Program ◽  
Image Recognition ◽  
Human Performance ◽  
Rapid Progress ◽  
Holy Grail ◽  
Simultaneous Interpreting ◽  
The Past ◽  
World Class ◽  
Near Future

AbstractArtificial Intelligence (AI) has been become a household expression, especially in the past couple of years thanks to Google’s AI Computer program AlphaGo defeating a couple of world-class Go masters from Korea and China. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Although it is unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the near future, experts forecast that rapid progress in the field of specialized AI will continue, with machines reaching and exceeding human performance on an increasing number of tasks. Simultaneous interpreting, being among the most complex of human cognitive/linguistic activities, with all the associated ergonomic elements, has been discussed profusely as one of the most likely to be taken over by AI in a couple of years. Given that so much has to be there simultaneously, i. e. anticipation, restoration of the implicit-explicit balance, and communicative re-packaging (‘re-ostension’

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