Role of AR and VR Technologies in the Future of Healthcare

augmented reality app development company

Some time ago, virtual reality (VR) and augmented reality (AR) were exclusively dedicated to the gaming industry. In 2021, both VR and AR are experiencing deep interest from various sectors, including healthcare. Visual aids, AR and VR, therapeutic and educational, are fully poised to play a central role in more aspects of care delivery.

More and more healthcare companies are always ready with results to strengthen their digital solutions with VR and AR technologies for robust data analysis and healthcare practices. By implementing these technologies, some companies have found new ways to establish connections with their patients at the time of the epidemic, providing remote and personal care. While others use VR and AR to improve medical training or prepare them for activities prior to surgery.

Although, VR and AR app development companies are not yet common to most healthcare facilities and clinics worldwide. Will VR and AR be widely disseminated in health and medicine? And what is the future for technologies in these areas? In this article, we focus on the practices of using virtual and augmented realities in the medical field and healthcare and explore the potential of VR and AR in the industry.

Estimating the AR-VR Opportunities

Before we dive into the VR and AR opportunities both technologies offer in the medical and healthcare sectors, let’s define how they differ. Augmented Reality app development is a technology that allows the laying of some information, video, and graphics on devices smarter than reality. Therefore, this technology enhances the real world, adding additional data to it. The most prevalent examples of AR are IKEA Place App, L’Oreal Makeup App, Pok√©mon Go etc and many more.

Virtual reality (VR) is a fake reality created by computer technology when a person is completely immersed in a digital environment. The most widespread examples of VR are VR chats, Volvo test drive reality, Yosemite National Park for the North Face for hiking experience, and a vast number of VR games.

Also Read : How augmented reality is impacting mobile app development ?

Here are some examples of using VR and AR in health and medicine, which are as follows:

  • Medical Training – Medical students, doctors or surgeons can learn how to treat their patients better or perform complex operations without risking any surgery mistakes.
  • Robotic Surgery – When robotic devices perform surgery by performing high precision operations controlled by a human surgeon with VR technology.
  • Physiotherapy – VR helps patients ease high pain levels and ensures faster recovery while performing physical therapy.
  • Post-Traumatic Stress Treatment – When a person is placed in an environment with a painful condition and tries to find a solution and overcome the crisis situation.
  • Anxiety, Fear & Depression Treatment – Patients can use VR for meditation or relaxation in a safe environment provided by VR.
  • Emergency Treatment – Medical centers, pharmacies, and other healthcare facilities can be found with layered AR maps of people in reality.
  • Personalized Approach To Patients – VR and AR can help doctors better explain to their patients how their operations will be performed or what steps a patient should take to be more effective.

Medical Immersion for a Range of VR Patient Need

The augmented reality app development sector is easily accessible which is most easily accessible to both consumers and companies. Mobile AR apps are created on phones and tablet platforms, which appear as holograms with AR content on the screen. Healthcare companies effectively involve their customers in healthcare related activities by using VR and AR technologies to improve their customers’ experiences. In ophthalmology, health specialists can provide their patients with an app that stimulates the vision of a patient’s specific conditions, such as cataract or AMD, and others. In this way, patients can better understand the problem and become actively involved in their treatment.

At times of epidemics, VR and AR technologies can be used for better self-diagnosis. This is particularly valuable in remote areas where visiting clinics are challenging and people have to use telehealth services instead. Better self-diagnosis with AR provides a better overview – if a person needs a check-up and treatment in a hospital or the condition can be treated at home.

Apart from this, VR and AR-based apps in isolation are used for self-directed treatment. For example, addressing chronic pain, doing meditation sessions to relieve anxiety, or planning recovery of joint disease exercise. Now, patients who have survived brain injuries and strokes may undergo rehabilitation in a gamified approach. This makes patients more pleasant and better in therapy.

Virtual reality app development has been started for the educational sectors. In order to make the teaching experience exciting and more attractive, the institute uses virtual reality applications. Another implementation of augmented reality in healthcare for mass use is providing people with information about the location of healthcare facilities. Using AR Maps, users can define where the nearest clinics or other healthcare institutions are in an unknown area. AR Map saves time spent searching for these features, which can be life saving in case of emergency. For example, if a person needs emergency assistance due to heart failure, the AR map will show where the nearest automated external defibrillators are located.

AR and VR Preparation & Efficiency for Surgery

Doctors and healthcare specialists also benefit from VR and AR technologies using them in operating rooms and classrooms. For example, before performing an operation, surgeons may use VR and AR techniques to walk through organs that need to operate or visualize 3-D models of challenging surgical cases. In addition, 3-D organ models can be used in conferences, for example, in the learning process, or to explain to patients what is going to happen during surgery and what the consequences will be.

Forby, VR and AR technologies serve to ensure a more personalized approach in healthcare. By studying how their patients ‘organs work and how they react to a certain treatment, doctors can twin their patients’ digital organs and perform more tests for them. This combination of clinical expertise and VR technology has been successful in providing personalized treatment for each patient, which has also guaranteed their faster and better recovery.

Disparities to Expand VR Programs in Healthcare

VR and AR technologies are a rapidly growing market. According to Allied Market Research, virtual reality in the healthcare market is expected to grow to $ 2.4 billion by 2026. Despite this, VR technology today faces some challenges for its widespread application. The main issue is limited access to high-speed networks, such as 5G, and low usage of 5G devices.

VR and AR are still at the level of their use in most health care companies and medical institutions. However the increasing interest in using these technologies in the health industry stimulated their rapid development and widespread implementation. Companies that ignore this fact may face challenges in providing effective services in the future and will ultimately lag behind the competition.

Conclusion

Virtual and augmented realities are gaining popularity in healthcare and medicine. They are already able to provide high quality support to doctors and medical specialists in treating the patient and educate health care consumers to take better care of their health.

Although both technologies are in their early stages of adoption in healthcare, many businesses are investing heavily in this market. Companies that realize the disruptive potential of these technologies are already exploring their VR and AR development companies with VR and AR technologies to build their own healthcare digital solutions.

How Machine Learning Can Help Revamping Mobile App

How Machine Learning Can Help Revamping Mobile App

The era of generic service is diminishing . Customer now a days are more willing to get custom tailored offers as per their specific demand . In fact in recent studies it has been proven that almost 50 % of customers switch their brands if company is not able to meet their specific sets of needs and almost 57% shares their data with companies that send personalised offers .

It is because of digital transformation and technological advancement that has opened up many new doors for vendors which aids in attracting and retaining of customers . But there is a huge difference in fact and reality , in short you will never be able to  fulfil needs of your targeted audience with mobile app that does not contain any advance technology . Machine Learning (ML) is one such cognitive technology that has ability to create algorithms and understand human in a way that can assist them in completion of tasks and even entertain them .

So Machine Learning (ML) is technology which can be implanted in mobile app to make it more user friendly , thereby giving more user experience , customer loyalty and thereby aids in building consistent omnichannel experience .

Let’s now look at how machine learning can enrich your experience : 

Personalised Experience 

With machine learning you can redirect machine to learn and adopt continuously . It has algorithms which redirects analysis of various sources of information which can either be acquired from social media , credit ratings and more which later on given pop recommendation to customers devices .
In addition to above Machine Learning can help you classify users interest , collect information of users and can also guide you how your app should look alike . Machine Learning can be used to learn :

  • Who your customers are 
  • What they want 
  • What are their affordability power 
  • What are their hobbies , interest and pain points 
  • What they are specking about your products 

On the basis of all the information collected above , machine learning can actually help you in structuring as well as classifying your customer into groups . As a result you can deliver content relevant to them on the basis of information collected and hence convey the impression that your app is really talking to them .

Advance Search 

Machine learning helps you building search more intuitive and less burdensome for your customers as they will deliver results on the basis of their most recent searches . Machine learning algorithms helps learning from customers queries and thereby showcase the result which most matters to them . Due to its cognitive in nature , it helps grouping articles , videos , FAQs and documents to provider smarter result and immediate answers to their solutions .
Once the data is collected , machine learning utilised that data to helps customers perform searches , search histories and typical actions with ease . In addition to it , you can also upgrade your mobile app with voice search and spelling corrections .
Reddit is making use of ML which aids them in improving overall search performance for hundred of millions of community members .

User Behaviour Prediction 

Marketers get detailed data about user behaviour by analysis of data collected on the basis of age , gender , location , search request , frequency of app usage and so on . Marketers then make use of data collected to facilitate customers as per their interest as well as increasing overall effectiveness of your app and your marketing efforts . For instance say on the basis of data collected , you have found that females under age of 30 are more using your app in comparison with male , then you may either find ways to attache male audience or move your target entirely on women audience .
Machine learning can also facilitate you with even creating of individual recommendation to boost customer engagement as well as time spent on your app . Have you even been browsing on Amazon ? If yes then you must have experience that Amazon suggest on the basis of machine learning algorithms about your likes and dislikes . In addition to it , almost 80 % of TV shows watched on Netflix are the result of their suggestion system based on machine learning algorithms .

Showing Advertisement On The Basis Of Interest 

One of the hardest part to deal with when it comes to advertisement is showcasing right ads to right audience . Thanks to Machine Learning technology which aids advertisers to showcase advertisement  to right people more accurately .
With Machine learning you can even avoid showcasing advertisement in respect to items that has just been brought by customer and thereby showcasing ads to customers who are more likely interest inn buying products or services . This technology will not only helps you saving your time and money , but will also help you with improving brand’s reputation .
Coca Cola is great example for making use of this technology on social media advertisement . Company make use of image recognition technology for identification of people who have posted their product images . This has helped Coca Cola know about the situation when customers talk about their product and what can be the best way to showcase them advertisement . Ads designed by way of machine learning algorithms has greater changes of getting clicks in respect to other targeted ads .

Security Improvement 

Video , audio and voice recognition makes it easier for customers to add on extra layer of security to their mobile apps by secure app authentication . It is smart decision for any kind of mobile app .
Machine learning algorithms can also help you in detecting and banning suspicious activities . Traditional technology on one hand can only help you with knowing of threat , machine learning mythology can help you protect your customers with identification of previously unidentified malware attacks on real time basis .
Banking and financial companies are also making use of machine learning to inspect previous transactions of customers , borrowing history which helps in determining their credit rating .

Also Read : What Is Machine Learning & Its Applications ? 

User Engagement 

Machine learning has superpower which offers solid customer support and range of specific features and entertainment which given customer a reason to use your app on day to day basis .

Support 

Both Amazon and Facebook is making use of Machine Learning technology for user engagement in a way to handle their request intelligently . Machine learning technology has capability of analysing large sets of data and make decision in real time .
Some people have habit of not making calls or writing long emails until and unless somebody responds . Many companies now a days are implementing machine learning to build conversational UX or Virtual assistant often known as AI chatbots .

Entertainment 

Beyond AI chatbots which can handle customer request even at 3 am , thereby are various other machine learning entertainment tools for customers . Take for instance say , Erwin is bot that lives in Facebook messenger which helps users to solve complicated puzzle by sending them clue if they struck somewhere .
Snapchat is using AR and ML to let customers revamp their pictures using funny filters . Their face is detected by camera and AR helps adding filters on their face .

Valuable Features 

Machine learning also supports real time speech translation . So if your target is on international customers as well , then ML can facilitate you with making successful communication within your app without any need of third party online translators .
We can take example of Airbnb wherein more than 60 % of their booking are done by users in different languages . They are making use of cloud translations API which helps them translating listing , reviews and even conversion between its users . Azar , a chat app is using Cloud Speech API as well as cloud Translation API to translate audio between matches .
Another great example of machine learning application is Realtor.com , which is real estate listing which use Vision API to facilitate people to take pictures for sales sign and get immediate information about property .

Conclusion 

Machine learning has great super power to play with , which has ability transform your mobile app development with new technologies . 

Most Demanding Mobile Technology After COVID-19 World

Most Demanding Mobile Technology After COVID-19 World

The present COVID-19 outbreak has completely changed what  the world meant for all of us . The COVID-19 pandemic has not only impacted economy , but has also largely affected our daily lives , and things as assumed are not likely to return to normal even after pandemic ends . Nobody knows when this pandemic is going to end from the world , and that is the reason many business has been forced to suspend their operations which has lead to affecting their bottom line . But the good news is it has also aids to accelerate development of several emerging technologies . These technological innovations is focus on reducing human to human contact , process automation , productivity increment , all due to social distancing norms .

Upon passing of time , more and more data emerges which offers plenty of rooms for business organisation in order to overcome with challenges that has been bought on by this pandemic and to stand stronger on the other hand for business worldwide . In this article we are going to discuss most emerging mobile trends that business should keep on their hotlist in order to adjust to post COVID-19  world .

Most Demanding Mobile Trends After COVID-19 World 

5G Connectivity

List of questionaries about 5G technology and its deep impact on next generation connectivity and services has been circulating worldwide since last year or so . But the fact is technology is yet not widely been available . If you are among those who is thinking 5G is just another upgraded version of 4G , then it is not . 5G is entirely new network infrastructure , and has been assumed to have potential  to revolutionise the complete mobile network function . Telecom operators are slow to completely roll out this technology and thereby offering limited 5G service .
But the question is why telecom providers are not completely rolling out this technology ? One of the reason being they are still not confident about the demand it would have from consumer side . However due to present COVID-19 , the 5G market may materialise sooner than expected . In the time of social distancing , everyone has been forced to isolate , thereby increasing the demand for working from home as well as studying from home which creates higher demand for bandwidth .
Long back in October 2019 , CCS Insights has predicted there will more one billion user of 5G by mid 2023 , which clearly states it will take less time than 4G to reach the same milestone . However due to current scenario , wherein people are seeking faster data sharing with increased connectivity speeds , rapid acceleration of 5G technology will facilitate user with meeting higher bandwidth demand and capacity challenges for existing infrastructure will also be addressed .

Cloud Computing 

Cloud based mobile applications are already gaining popularity even before the pandemic , due to recent outbreak of COVID-19 , demand for easy access through remote servers as well as storing of large data sets on cloud without effecting device storage is getting attraction throughout the pandemic . On the basis of this metrics , post COVID-19 world , cloud technology will tend to increase for all types of apps .
As the virus spread day by day .  people are forced to work from home and demand for online learning models as well as cloud based video conferencing and teaching is skyrocketing . As a result various cloud vendors has upgraded their resources to meet demand , which includes Zoom and Microsoft Teams . Youku and Ding talk (all-in-one platform under Alibaba Group ) in China launched campaign to attend classes at home has facilitated various students to learn in secured environment .
As a way forward , many business and educational industry are more likely to continue to implement this technology as future behaviour of both employees and students will change . As the demand will continue to increase in future , implementing this technology into mobile application will surely become key to success. 

Artificial Intelligence (AI)

Post COVID-19 , consumer behaviours will no way go back to normal . Consumer will tend to purchase goods and services online as well as tend to work remotely from home will continue to increase . The roadmap for post COVID-19 world can’t be predicted , but one thing is sure that application of artificial intelligence (AI) will act as a helping hand to adapt to new trends .
AI can be proven beneficial for those who are into retail and supply chain industry .With the additional use of machine learning and data analytics technology , AI can help in prediction of new purchasing pattern as well as delivering great personalised experience to online consumers .
AI tools facilities reading customer behaviour , image recognition , human speech and many other and collect data from these to learn underlying patterns . Their capabilities are extraordinary valuable which aids companies to adapt to next normal once this pandemic subsidise .

Virtual Reality / Augmented Reality (VR/AR)

Not particularly because of this pandemic , demand of AR/VR is already at its high . People are making use of VR headset to play video games , explore virtual travel of world as well as for online entertainment . Now as they are isolated at home , they are making use of this technology to interact with human through social VR platform such as Rec Room , AltspaceVR , Bigscreen and VRChat .
Business is now being seen implementing VR platforms to hold video conferences , train employees , collaborate with team on project as well as making connection with employees virtually . For instance say Scientist worldwide has switched on Nanome which is again a VR software which facilitates molecular design for team collaboration on coronavirus research and its potential treatments .

According to latest eMarketer article , VR headset marker , HTC has held its very first ” VIVE Ecosystem Conference ” solely using VR .

Now as a business and consumers are getting more familiar to this technology , we are more likely to see more virtual video conferences and human interfaces as our new normal sets in .

Voice-Tech In Mobile Solution 

As consumers are getting concerned about their mobile devices now a days ( which are touched more than 2600 times in a day ) as it can spears coronavirus . As a result of fear of germs spread , they might make use of voice tech technology which actually have potential to reduce the number of times one touches any mobile phones .
Voice usage will continue to increase tremendously and is expected to expand to other components which are smart and can be major germs hub . For instance implementing voice tech on lights , switches , music players , entertainment components will help in less need to physically touch them .

Conclusion 

The aftereffects of this pandemic can’t be predicted at current stage . But one thing is sure , whenever companies begin to shift back to their recovery , the demand for digital transformation initiatives will surely tend to increase at tremendous scale and . This pandemic will force business worldwide to adopt to emerging mobile technologies . Also in order to get ahead of their competitors , business will surely adopt measure to be ahead in the race . As we have stated above , shifting your business towards this advance solution can overcome with business risk which is associated with COVID-19 pandemic and this technologies will also help your companies to run smoothly even now as well as in long terms .