scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2021 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2019 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2020 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

scholarly journals A review on potential technological advances for fashion retail

2021 ◽  
pp. 168-186
Author(s):  
Clara E. Fernandes ◽  
Ricardo Morais
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Business Models ◽  
New Technologies ◽  
Mixed Reality ◽  
Methodological Approach ◽  
Exploratory Research ◽  
Technological Advances ◽  
The Future ◽  
Fashion Retail

This technical paper will assess new technological advances that could change the way we buy clothes, exploring existing solutions that are still commonly confused with each other: Smart fitting rooms (SFR), interactive mirrors (IM), Virtual Reality (VR), and Augmented Reality (AR). The methodological approach based on an exploratory research will start with a literature review on SFR and IM, comparing the main differences between these two technologies and addressing their unsuccessful attempts in retail. Our research will also assess daily technologies, which could possibly improve the customer’s experience with online shopping, as well as customers with reduced mobility. With smart gadgets in every corner, consumers are more difficult to convince with innovative products. We will propose future possibilities for fashion retail, where results will be presented as a first approach, in hopes of creating innovative solutions for the future. Moreover, sustainable implications related with this approach will be addressed in our additional considerations. This technical study considers only two basic solutions that were eventually too complicated to fit into fashion retail, exploring additional solutions that could change these limitations. Although explored and researched in the last years, solutions like IM and SFR were once part of what was considered the future of fashion retail. However, poor business models and lack of technological advances at the time limited these solutions. New technologies such as Augmented Reality (AR), Virtual Reality (VR) and Mixed-Reality (MR), combined with the latest smartphone evolution could relaunch solutions like these.  

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 Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Muhammad Javed Iqbal ◽  
Zeeshan Javed ◽  
Haleema Sadia ◽  
Ijaz A. Qureshi ◽  
Asma Irshad ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cancer Diagnosis ◽  
Disease Risk ◽  
Clinical Applications ◽  
Optimal Decision ◽  
Great Promise ◽  
Time Range ◽  
Base System ◽  
The Future

AbstractArtificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive abilities and to address difficult healthcare challenges including complex biological abnormalities like cancer. The exponential growth of AI in the last decade is evidenced to be the potential platform for optimal decision-making by super-intelligence, where the human mind is limited to process huge data in a narrow time range. Cancer is a complex and multifaced disorder with thousands of genetic and epigenetic variations. AI-based algorithms hold great promise to pave the way to identify these genetic mutations and aberrant protein interactions at a very early stage. Modern biomedical research is also focused to bring AI technology to the clinics safely and ethically. AI-based assistance to pathologists and physicians could be the great leap forward towards prediction for disease risk, diagnosis, prognosis, and treatments. Clinical applications of AI and Machine Learning (ML) in cancer diagnosis and treatment are the future of medical guidance towards faster mapping of a new treatment for every individual. By using AI base system approach, researchers can collaborate in real-time and share knowledge digitally to potentially heal millions. In this review, we focused to present game-changing technology of the future in clinics, by connecting biology with Artificial Intelligence and explain how AI-based assistance help oncologist for precise treatment.

Virtual Reality (VR) in Pediatrics: Innovative Perspectives With Special Reference To Clinical Applications and Pediatric Rehabilitation

2021 ◽  
Author(s):  
Stefan Bittmann
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Virtual Worlds ◽  
Virtual World ◽  
Mixed Reality ◽  
Clinical Applications ◽  
Virtual Space ◽  
Data Glove ◽  
Input Devices ◽  
Head Mounted Displays

Virtual reality (VR) is the term used to describe representation and perception in a computer-generated, virtual environment. The term was coined by author Damien Broderick in his 1982 novel “The Judas Mandala". The term "Mixed Reality" describes the mixing of virtual reality with pure reality. The term "hyper-reality" is also used. Immersion plays a major role here. Immersion describes the embedding of the user in the virtual world. A virtual world is considered plausible if the interaction is logical in itself. This interactivity creates the illusion that what seems to be happening is actually happening. A common problem with VR is "motion sickness." To create a sense of immersion, special output devices are needed to display virtual worlds. Here, "head-mounted displays", CAVE and shutter glasses are mainly used. Input devices are needed for interaction: 3D mouse, data glove, flystick as well as the omnidirectional treadmill, with which walking in virtual space is controlled by real walking movements, play a role here.

scholarly journals Beyond the lab: Virtual reality for undergraduate Anatomy and Physiology students

2021 ◽  
Vol 82 (4) ◽  
pp. 186
Author(s):  
Kathleen Phillips ◽  
Valerie A. Lynn ◽  
Amie Yenser ◽  
Christina Wissinger
Keyword(s):  
Virtual Reality ◽  
Teaching Practice ◽  
Mixed Reality ◽  
Cleveland Clinic ◽  
Physical Models ◽  
Human Anatomy ◽  
Anatomy And Physiology ◽  
Instructional Methodologies ◽  
Technological Advances ◽  
Microsoft Hololens

Current teaching practice in undergraduate higher education anatomy and physiology courses incorporates the use of various instructional methodologies to reinforce the anatomical relationships between structures.1,2 These methods can include basic hands-on physical models, human and animal dissection labs, and interactive technology. Technological advances continue to drive the production of innovative anatomy and physiology electronic tools, including:virtual dissection in 3-D (e.g., Virtual Dissection Boards from Anatomage, 3D4Medical, and Anatomy.TV),augmented reality (AR) (e.g., Human Anatomy Atlas),mixed reality (e.g., Microsoft HoloLens Case Western Reserve Medical School and Cleveland Clinic digital anatomy app), and3-D virtual reality (VR) (e.g., 3D Organon VR Anatomy and YOU by Sharecare apps).

The future surgical training paradigm: Virtual reality and machine learning in surgical education

Surgery ◽  
2020 ◽  
Author(s):  
Michael P. Rogers ◽  
Anthony J. DeSantis ◽  
Haroon Janjua ◽  
Tara M. Barry ◽  
Paul C. Kuo
Keyword(s):  
Machine Learning ◽  
Virtual Reality ◽  
Surgical Training ◽  
Surgical Education ◽  
Training Paradigm ◽  
The Future

The Future of eSports

2020 ◽  
pp. 149-164
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Data Privacy ◽  
Future Research ◽  
Business And Society ◽  
Regulatory Issues ◽  
The Future ◽  
Impossible Task ◽  
Research Questions

Predicting the future is a difficult and, arguably, impossible task. This final chapter builds on the past and present and explores macro-level trends and how they may impact the future of eSports. This includes issues related to data privacy, blockchain, artificial intelligence, virtual reality, 5G wireless, and major policy and regulatory issues that may challenge eSports. Together, these trends offer a framework to map out how eSports may impact both business and society. The final section of this chapter synthesizes the detailed research questions from each chapter to guide future research in the field of eSports.

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