scholarly journals A Survey of Robots in Healthcare

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Maria Kyrarini ◽  
Fotios Lygerakis ◽  
Akilesh Rajavenkatanarayanan ◽  
Christos Sevastopoulos ◽  
Harish Ram Nambiappan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The Elderly ◽  
Robotic Systems ◽  
Care Hospital ◽  
Robotic Technology ◽  
Persons With Disabilities ◽  
Survey Paper ◽  
Recent Advances ◽  
Art Research

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assisting robots. The paper also discusses the open challenges healthcare robots face to be integrated into our society.

scholarly journals ARTIFICIAL INTELLIGENCE IN BUSINESS AND ECONOMICS RESEARCH: TRENDS AND FUTURE

2020 ◽  
Vol 0 (0) ◽  
pp. 1-20 ◽  
Author(s):  
José Luis Ruiz-Real ◽  
Juan Uribe-Toril ◽  
José Antonio Torres ◽  
Jaime De Pablo
Keyword(s):  
Artificial Intelligence ◽  
Web Of Science ◽  
State Of The Art ◽  
Disruptive Technology ◽  
Competitive Advantages ◽  
Business World ◽  
Marketing Decision ◽  
Accelerated Evolution ◽  
Online Databases ◽  
Art Research

Artificial Intelligence is a disruptive technology developed during the 20th century, which has undergone an accelerated evolution, underpinning solutions to complex problems in the business world. Neural Networks, Machine Learning, or Deep Learning are concepts currently associated with terms such as digital marketing, decision making, industry 4.0 and business digital transformation. Interest in this technology will increase as the competitive advantages of the use of Artificial Intelligence by economic entities is realised. The aim of this research is to analyse the state-of-the-art research of Artificial Intelligence in business. To this end, a bibliometric analysis has been implement using the Web of Science and Scopus online databases. By using a fractional counting method, this paper identifies 11 clusters and the most frequent terms used in Artificial Intelligence research. The present study identifies the main trends in research on Artificial Intelligence in business and proposes future lines of inquiry.

scholarly journals Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives

2021 ◽  
Author(s):  
Atul Rawal ◽  
James McCoy ◽  
Danda Rawat ◽  
Brian Sadler ◽  
Robert Amant
Keyword(s):  
Artificial Intelligence ◽  
Survey Paper ◽  
Recent Advances ◽  
Explainable Artificial Intelligence

This is a survey paper on Explainable Artificial Intelligence (XAI).

scholarly journals Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

2020 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
State Of The Art ◽  
The State ◽  
Daily Lives ◽  
Recent Advances ◽  
The Arts ◽  
The World ◽  
Novel Coronavirus

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

scholarly journals Designing Robots for the Battlefield: State of the Art

2021 ◽  
pp. 131-146
Author(s):  
Bruce A. Swett ◽  
Erin N. Hahn ◽  
Ashley J. Llorens
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Arms Race ◽  
Robotic Systems ◽  
Applied Physics ◽  
Johns Hopkins University ◽  
The Future ◽  
Future Direction ◽  
And Control ◽  
The Relationship

AbstractThere is currently a global arms race for the development of artificial intelligence (AI) and unmanned robotic systems that are empowered by AI (AI-robots). This paper examines the current use of AI-robots on the battlefield and offers a framework for understanding AI and AI-robots. It examines the limitations and risks of AI-robots on the battlefield and posits the future direction of battlefield AI-robots. It then presents research performed at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) related to the development, testing, and control of AI-robots, as well as JHU/APL work on human trust of autonomy and developing self-regulating and ethical robotic systems. Finally, it examines multiple possible future paths for the relationship between humans and AI-robots.

scholarly journals Recent Advances in Dialogue Machine Translation

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 484
Author(s):  
Siyou Liu ◽  
Yuqi Sun ◽  
Longyue Wang
Keyword(s):  
Personality Traits ◽  
Machine Translation ◽  
State Of The Art ◽  
The State ◽  
Comprehensive Review ◽  
Survey Paper ◽  
Recent Advances ◽  
Art Performance ◽  
Hotel Booking ◽  
Significant Application

Recent years have seen a surge of interest in dialogue translation, which is a significant application task for machine translation (MT) technology. However, this has so far not been extensively explored due to its inherent characteristics including data limitation, discourse properties and personality traits. In this article, we give the first comprehensive review of dialogue MT, including well-defined problems (e.g., 4 perspectives), collected resources (e.g., 5 language pairs and 4 sub-domains), representative approaches (e.g., architecture, discourse phenomena and personality) and useful applications (e.g., hotel-booking chat system). After systematical investigation, we also build a state-of-the-art dialogue NMT system by leveraging a breadth of established approaches such as novel architectures, popular pre-training and advanced techniques. Encouragingly, we push the state-of-the-art performance up to 62.7 BLEU points on a commonly-used benchmark by using mBART pre-training. We hope that this survey paper could significantly promote the research in dialogue MT.

Medical Robotics

2013 ◽  
Vol 8 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Alireza Mirbagheri ◽  
Mina Arab Baniasad ◽  
Farzam Farahmand ◽  
Saeed Behzadipour ◽  
Alireza Ahmadian
Keyword(s):  
Research And Development ◽  
State Of The Art ◽  
Medical Robotics ◽  
Robotic Systems ◽  
Computer Assisted ◽  
Robotic Technology ◽  
Robotic Rehabilitation ◽  
Surgical Robots ◽  
Guided Surgery ◽  
Image Guided

Many research and development projects are being performed worldwide to develop new products and applications for computer-assisted and medical robotic systems. In this paper, an overview of selected state-of-the-art applications of robotic technology in medicine is presented. Four key areas of image-guided surgery, virtual reality in medicine, surgical robots, and robotic rehabilitation systems, are studied. As well, current challenges in research and development are discussed.

scholarly journals Internet of Things: Architectures, Protocols, and Applications

2017 ◽  
Vol 2017 ◽  
pp. 1-25 ◽  
Author(s):  
Pallavi Sethi ◽  
Smruti R. Sarangi
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Human Life ◽  
The Elderly ◽  
Striking Difference ◽  
The Internet ◽  
Survey Paper ◽  
Survey Papers ◽  
Similar Survey ◽  
The Internet Of Things

The Internet of Things (IoT) is defined as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. In this paper, we survey state-of-the-art methods, protocols, and applications in this new emerging area. This survey paper proposes a novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly. As compared to similar survey papers in the area, this paper is far more comprehensive in its coverage and exhaustively covers most major technologies spanning from sensors to applications.

scholarly journals Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics?

Biology ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1265
Author(s):  
Francesco Lorenzo Serafini ◽  
Paola Lanuti ◽  
Andrea Delli Pizzi ◽  
Luca Procaccini ◽  
Michela Villani ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Extracellular Vesicles ◽  
Laboratory Tests ◽  
State Of The Art ◽  
The Other ◽  
Radiological Findings ◽  
Radiological Features ◽  
Precise Diagnosis ◽  
Art Research

Currently, several pathologies have corresponding and specific diagnostic and therapeutic branches of interest focused on early and correct detection, as well as the best therapeutic approach. Radiology never ceases to develop newer technologies in order to give patients a clear, safe, early, and precise diagnosis; furthermore, in the last few years diagnostic imaging panoramas have been extended to the field of artificial intelligence (AI) and machine learning. On the other hand, clinical and laboratory tests, like flow cytometry and the techniques found in the “omics” sciences, aim to detect microscopic elements, like extracellular vesicles, with the highest specificity and sensibility for disease detection. If these scientific branches started to cooperate, playing a conjugated role in pathology diagnosis, what could be the results? Our review seeks to give a quick overview of recent state of the art research which investigates correlations between extracellular vesicles and the known radiological features useful for diagnosis.

scholarly journals Will Machines Replace Us? Machine-Authored Texts and the Future of Scholarship

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Benjamin Alarie ◽  
Arthur Cockfield
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Knowledge Workers ◽  
Review Article ◽  
Recent Advances ◽  
Self Interest ◽  
The Future ◽  
Law Professors

We present here the first machine-generated law review article. Our self-interest motivates us to believe that knowledge workers who write complex articles drawing upon years of research and effort are safe from AI developments. However, how reasonable is it to persist in this belief given recent advances in AI research? With that topic in mind, we caused GPT-3, a state-of-the-art AI, to generate a paper that explains “why humans will always be better lawyers, drivers, CEOs, presidents, and law professors than artificial intelligence and robots can ever hope to be.” The resulting paper, with no edits apart from giving it a title and bolding the headings generated by GPT-3, is reproduced below. It is imperfect in a humorous way. Ironically, it is publishable “as-is” only because it is machine-generated. Nevertheless, the resulting paper is good enough to give us some pause for thought. Although GPT-3 is not up to the task of replacing law review authors currently, we are far less confident that GPT-5 or GPT-100 might not be up to the task in future.

scholarly journals Grand Challenges of Machine-Vision Technology in Civil Structural Health Monitoring

2020 ◽  
pp. 8-16
Author(s):  
Yunchao Tang ◽  
Yunfan Lin ◽  
Xueyu Huang ◽  
Minghui Yao ◽  
Zhaofeng Huang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Structural Health Monitoring ◽  
Machine Vision ◽  
Computer Technology ◽  
Health Monitoring ◽  
State Of The Art ◽  
Civil Infrastructure ◽  
Structural Health ◽  
Art Research ◽  
Vision Technique

Machine-vision technology has progressed remarkably in both accuracy and speed owing to advances in computer technology and artificial intelligence. In this paper, state-of-the-art research on vision-based techniques is reviewed for civil infrastructure condition assessment. The major challenges of machine vision technique in civil structural health monitoring are presented.

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