Science Hackathon using artificial intelligence, the future of medical literature research? A first experience with a new technology with the intention to boost augmented reality in surgery

2018 ◽  
Vol 17 (2) ◽  
pp. e1211
Author(s):  
D.S. Schoeb ◽  
S. Hein ◽  
F.F. Dressier ◽  
F. Adams ◽  
D. Schlager ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Medical Literature ◽  
New Technology ◽  
Literature Research ◽  
The Future

Epilogue

2018 ◽  
pp. 261-264
Author(s):  
Ingmar Weber
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Good Reason ◽  
Medical Doctors ◽  
Automated Diagnosis ◽  
Profound Impact ◽  
Customer Support ◽  
The Past ◽  
The Future ◽  
Digital Landscape

Changes in the global digital landscape over the past decade or so have transformed many aspects of society, including how people communicate, socialize, and organize. These transformations have also reconfigured how companies conduct their businesses and altered how states think about security and interact with their citizens. Glancing into the future, there is good reason to believe that nascent technologies such as augmented reality will continue to change how people connect, blurring the lines between our online and offline worlds. Recent breakthroughs in the field of artificial intelligence will also have a profound impact on many aspects of our lives, ranging from the mundane—chat bots as convenient, always available customer support—to the disruptive—replacing medical doctors with automated diagnosis tools....

Sixth Sense Technology

2016 ◽  
pp. 188-215 ◽  
Author(s):  
Zeenat S. AlKassim ◽  
Nader Mohamed
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Real World ◽  
Digital World ◽  
The Future ◽  
Computer Interaction

In this chapter, the authors discuss a unique technology known as the Sixth Sense Technology, highlighting the future opportunities of such technology in integrating the digital world with the real world. Challenges in implementing such technologies are also discussed along with a review of the different possible implementation approaches. This review is performed by exploring the different inventions in areas similar to the Sixth Sense Technology, namely augmented reality (AR), computer vision, image processing, gesture recognition, and artificial intelligence and then categorizing and comparing between them. Lastly, recommendations are discussed for improving such a unique technology that has the potential to create a new trend in human-computer interaction (HCI) in the coming years.

scholarly journals Innovative Trends in Implant Dentistry Training and Education: A Narrative Review

2019 ◽  
Vol 8 (10) ◽  
pp. 1618 ◽  
Author(s):  
Ferro ◽  
Nicholson ◽  
Koka
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Blended Learning ◽  
Teaching And Learning ◽  
New Technologies ◽  
Mixed Reality ◽  
New Technology ◽  
Training And Education ◽  
Innovative Methods ◽  
Implant Dentistry

Background: The field of implant dentistry education is rapidly evolving as new technologies permit innovative methods to teach the fundamentals of implant dentistry. Methods: Literature from the fields of active learning, blended learning, augmented reality, artificial intelligence, haptics, and mixed reality were reviewed and combined with the experience and opinions of expert authors. Both positive and negative aspects of the learning methods are presented. Results and Conclusion: The fundamental objectives of teaching and learning remain unchanged, yet the opportunities to reach larger audiences and integrate their learning into active experiences are evolving due to the introduction of new teaching and learning methodologies. The ability to reach a global audience has never been more apparent. Nevertheless, as much as new technology can be alluring, each new method comes with unique limitations.

scholarly journals Transparency and Fairness in Machine Learning Applications

2018 ◽  
Vol 4 (5) ◽  
pp. 443-463
Author(s):  
Jim Shook ◽  
Robyn Smith ◽  
Alex Antonio
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Reading Comprehension ◽  
New Technology ◽  
Human Intervention ◽  
Daily Work ◽  
Comprehension Test ◽  
The Future ◽  
Machine Learning Applications ◽  
Self Driving Cars

Businesses and consumers increasingly use artificial intelligence (“AI”)— and specifically machine learning (“ML”) applications—in their daily work. ML is often used as a tool to help people perform their jobs more efficiently, but increasingly it is becoming a technology that may eventually replace humans in performing certain functions. An AI recently beat humans in a reading comprehension test, and there is an ongoing race to replace human drivers with self-driving cars and trucks. Tomorrow there is the potential for much more—as AI is even learning to build its own AI. As the use of AI technologies continues to expand, and especially as machines begin to act more autonomously with less human intervention, important questions arise about how we can best integrate this new technology into our society, particularly within our legal and compliance frameworks. The questions raised are different from those that we have already addressed with other technologies because AI is different. Most previous technologies functioned as a tool, operated by a person, and for legal purposes we could usually hold that person responsible for actions that resulted from using that tool. For example, an employee who used a computer to send a discriminatory or defamatory email could not have done so without the computer, but the employee would still be held responsible for creating the email. While AI can function as merely a tool, it can also be designed to act after making its own decisions, and in the future, will act even more autonomously. As AI becomes more autonomous, it will be more difficult to determine who—or what—is making decisions and taking actions, and determining the basis and responsibility for those actions. These are the challenges that must be overcome to ensure AI’s integration for legal and compliance purposes.

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

scholarly journals New Way of Monitoring of the Production Environment with Application of Augmented Reality and Artificial Intelligence

2018 ◽  
Vol 1 (1) ◽  
pp. 307-313 ◽  
Author(s):  
Andrzej Szajna ◽  
Janusz Szajna ◽  
Roman Stryjski ◽  
Josef Basl ◽  
Jarosław Brodny
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Mixed Reality ◽  
Production Environment ◽  
Virtual Objects ◽  
The Future ◽  
Augmented Reality Technology

Abstract Augmented reality technology (AR), also known as mixed reality, allows to enhance the seen reality with additional, virtual objects, displayed right in front of the user’s eyes. The article presents the concept of using Augmented Reality glasses, to support the user with pre-defined knowledge and instructions, giving the ability to do the job without almost any idea of what should be done. The operator simply follows the instructions shown in front of the eyes and communicate with the system with simple gesture and voice. Additionally, the article touches the topic of Artificial Intelligence (AI) which will allow the system in the future to have not only the pre-defined, hard coded instructions, but also the flexibility to give different hints to the user based on a different situation observed.

scholarly journals Always the eBook of the Future

2021 ◽  
Author(s):  
John W. Warren
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Digital Publishing ◽  
Current State ◽  
Evolutionary Features ◽  
The Future ◽  
Year 2000

In their third decade, depending on one’s definition, eBooks are still in their incunabula moment. While eBooks began to emerge prior to the year 2000, they began to garner a more robust market after the launch of Amazon’s Kindle and Apple’s iPhone, both in 2007, and Apple’s iPad in 2010. At least by some measures, eBooks today are thriving, and are bound to continue to evolve, just as publishing itself has evolved over more than five centuries. This article examines the current state and potential future of digital publishing, including enhanced eBooks, hypertext, interactivity, artificial intelligence, augmented reality, data- and gesture-based manipulation, and other evolutionary features that transform the eBook into a fundamentally different, immersive experience in reading and engagement.

scholarly journals The Era of Immersive Health Technology

2020 ◽  
pp. 40-47
Author(s):  
Robbie Bremner ◽  
Austin Gibbs ◽  
Andrew R. J. Mitchell
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Simulation Training ◽  
Healthcare Professionals ◽  
Review Paper ◽  
Health Technology ◽  
Health Technologies ◽  
The Future

Immersive health technologies are revolutionising the delivery of frontline healthcare, therapeutic techniques, and research. They also offer great potential to improve the training of healthcare professionals through reality-simulation training. This review paper summarises the current developments and uses of four types of immersive health technology: augmented reality, virtual reality, machine learning, and artificial intelligence. Current examples of their use in healthcare, opportunities and pitfalls, and how the use of these technologies could be improved further in the future are highlighted. How technology that once appeared to be only visionary is now part of day-to-day life for many patients and consumers is also addressed.

scholarly journals Philosophy and Consciousness in the Future

In medias res ◽  
2020 ◽  
Vol 9 (16) ◽  
pp. 2511-2522
Author(s):  
Nenad Vertovšek ◽  
Ivana Greguric Knežević
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Social Groups ◽  
Natural Sciences ◽  
Strategy Of Development ◽  
Human Attention ◽  
The Future ◽  
Scientific Technical ◽  
Virtual And Augmented Reality ◽  
Media And Communication

Natural sciences and technologies place artificial intelligence, robotics and cyborgs at the centre of human attention. However, virtual and augmented reality and the unthinkable possibilities of the future media and communication between individuals and social groups might be deeper and broader than we think, and evolve in forms we have not hoped for. If philosophy wants to focus on the essence of scientific-technical age, it must reflect on the very foundations of computer-operational thinking, because artificial intelligence has already started to develop its own consciousness and may, in the future, devise a strategy of development beyond man and without man.

scholarly journals Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

IoT ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 510-523
Author(s):  
Hossein Hassani ◽  
Pedram Amiri Andi ◽  
Alireza Ghodsi ◽  
Kimia Norouzi ◽  
Nadejda Komendantova ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Daily Life ◽  
New Technology ◽  
Economic Consequences ◽  
Data Input ◽  
Human Capabilities ◽  
Future Technology ◽  
The Future ◽  
Routine Medical Practice ◽  
Adequate Data

Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

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