Wearables have become a part of our day to day lives. The first digital hearing aids were released in the year 1980, and back from then, we couldn’t have imagined it to today become an inherent part of our lives.
Wearables have become a huge trend in 2004, which was officially marked as the year of wearable technology, while there was a sudden rise in activity trackers once Apple Watch was introduced, the innovations that have been happening in the Wearable sector are no less than complete transformations.
The evolution behind wearable devices has been driven by IoT in the healthcare industry, which is now being known as the Internet of Health Things (IoHT), where medical devices and applications are connecting to the healthcare IT system.
But we must wonder why wearables and the Internet of Things (IoT) are working without an AI engine and why do we need AI in wearables technology in the first place.
It is because the true value lies in insights and what better than AI and Machine Learning, two vital tools for insights.
Without an AI engine, the precise data from a wearable would lack any value to the vendor as well as the user.
That’s the reason why our machine learning app experts are developing wearable AI applications by increasingly adding AI Engine inside in various wearable health solutions.
AI-enabled wearables in Healthcare & Fitness:
AI in healthcare has enabled wearables to assist fitness with their routine training activities. Most fitness wearables help the user to track their activities.
However, the limitation with these wearables is that after a certain point people don’t understand how to utilize the data.
AI enabled wearables can not only track the data, but also define what the user needs to eat, how much they should sleep, and how they should train to improve their fitness among other insights.
Nowadays, wearables are coming in different forms, shapes, and sizes, thanks to technological advancement such as Intelligent Voice assistant (Alexa, Siri, etc.) integration.
Technology advanced sensors are embedded into these wearables for tracking, analyzing, and improving fitness or sport specific activities of users by generating real-time user insights.
Going the extra mile, these smart wearables provide actionable insights to the user to reduce the risk of injuries as well. e.g Smart helmets for bikers, smart glasses, smartwatches, fitness bands, yoga pants which assist for correct poses
Now, let us talk about some of the popular use cases of AI in wearable healthcare.
What are the best possible AI-enabled Wearable Applications?
The wearable intelligence market is poised to reach USD180 Billion by 2025.
This can open avenues for healthcare application development companies to develop AI-enabled wearable applications for markets across the globe. AI has always been popular in the techno market space.
The coming together of AI and Wearables can forge Smart wearable devices to sustain double-digit growth, with 780 Million units poised to sell between 2018-2022.
HealthTech Startups can take references from the AI Wearable Applications listed below to mark their foot-longs in the AI enabled wearable market.
Some of the popular AI enabled Wearable Applications are:
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AI-enabled Bluetooth Headphones:
The AI enabled Bluetooth Headphones to double up as a fitness tracker and are featured with biosensors that detect heart rate, elevation, motion, proximity, and touch.
These headphones have AI based personal trainers, which helps in working out in a smarter way by providing real-time tracking of running, cycling and other exercises.
A popular implication of AI enabled Bluetooth Headphones is Vinci.
Powered by AI smart assistance and intelligence, Vinci is your wearable headphones with voice and personal assistance, with intelligently sensored noise cancellation and immersive 3D sound.
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Wearables for Preventive Health:
About half of Americans have one or more chronic diseases during their lifetime.
The blatant chronic diseases include heart disease, diabetes, kidney disease, arthritis, asthma and more. With the use of preventive disease wearables &t trackers, you can monitor patients vitals such as their blood pressure, heart rate and more, it will be easier for doctors to determine their patients’ symptoms and accurately diagnose them.
These medical media allow patients to communicate with doctors by constantly synchronizing their medical information over the phone, allowing you to access your medical information with the touch of a finger.
Some of the popular applications for Preventive Healthcare are: Heartisans, which let your blood pressure, Anywhere. Anytime.
Another popular application is: 100Plus, which lets you monitor the body weight, blood glucose and much more with a single tap.
Give A Glance Over: WHAT ARE THE TOP AI SOFTWARE DEVELOPMENT TOOLS?
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Wearables for Medical Consultation:
Telemedicine or online medical consultations have become a trend now. Insights tracked through wearable applications can be synced with medical professionals at a health center for online assessments and medical consultations.
While you detect an abnormality, the patient can report them to their consulting physician or an AI doctor.
An AI intelligence doctor is generally a standalone neural network with a deep learning algorithm that can detect ailments faster than an actual doctor could.
The machine learning algorithm ensures the platform makes minimal mistakes and maximum detections through a self-learning module.
While it shares the same amount of data as the platform, the machine learning algorithms are stronger in nature, delivering detailed reports.
Zesty is one such application that allows connected care partners to push data into the clinical record. Their platform empowers patients to manage their own care, right from their smartphone.
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Wearables for Medication Management:
An AI-based doctor may prescribe you medication. Under the surface, the neural network that empowers doctors to AI connects when discovered to the platform to collect the necessary medical data and prescribe medicines for the patient.
The prescription is then sent to the patient’s wearable who he can refer to or even order the medication using the integrated contactless payment system with the NFC chip embedded in the consumable.
Even a consumable health app can remind you when it’s time to take medicine.
One such implication can be seen through Proteus, which consists of inviolable sensors, a small consumable sensor patch, a mobile device application, and a provider portal. When implemented, Proteus Discover unlocks unprecedented insights into patient health patterns and medication treatment efficiencies, making health care decisions more informed for all involved.
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Wearables for tracking pulse and blood pressure for stress monitoring:
Wearable and fitness monitoring apps help track all activities like heart rate, sleep patterns and a wide range of other biomarkers.
These devices are useful if a patient follows a training routine to improve his condition. If so, these apps can show their improvement effectively.
wearable healthcare application solutions that monitor pulse and blood pressure for stress monitoring
In addition, the patient can use these devices by requesting them to request daily walking reminders, heart rate, blood pressure, blood sugar and weight statistics
One such implementation is –Omron Heartguide, a clinically accurate, wearable blood pressure monitor in a wristwatch form factor that helps in tracking your heart data and learning how your behaviors impact your heart health.
Conclusion:
AI and wearable devices are two cutting-edge technologies that destroy many industries. Healthcare is an industry that can get a huge amount of benefits from both AI and wearable technology.
In this blog, we saw how a combination of the two can bring significant changes and make our health sector more effective.
Moreover, this can play a significant role in improving the health of patients with chronic diseases.
In the coming years, we will improve both of these technologies, which will lead to an even better healthcare system.
At ValueCoders, we always work towards making immersive applications with the latest technologies. For AI Wearable Applications, you can consult us and hire machine learning app programmers for your next project.
Few Frequently Encountered Questions
q1) How is AI used in healthcare?
Artificial Intelligence (AI) in healthcare uses comprehensive algorithms and software to simulate human cognition in the analysis of complex medical data. The main goal of health-related AI applications is to analyze the relationships between prevention or treatment methods and patient outcomes.
Q2) How AI will transform healthcare?
AI succeeds in classifying data, especially when it is exposed to a large amount of data on this subject. AI will transform the health sector with wearable AI-enabled devices to better understand and share data.
Q3) Why is artificial intelligence important in healthcare?
In the healthcare sector, artificial intelligence (AI) can help manage and analyze data, make decisions, and conduct conversations, so it is destined to radically change the way doctors work in everyday practice.
Q4) How can AI help doctors?
Primary care physicians can use AI to take notes, analyze their conversations with patients, and enter the necessary information directly into EMC systems. These applications will collect and analyze patient data and present it to primary care physicians along with an understanding of the patient’s medical needs.
Q5) How can artificial intelligence benefit hospitals?
Artificial intelligence offers a number of benefits when exploring a healthcare landscape. Artificial intelligence technology can help doctors make more informed decisions based on data. This can have a positive effect on reducing mortality. AI can help improve the diagnosis, management, and treatment of diseases.
