Wearable devices when powered with AI technologies, getting immense capabilities to yield better applications for a bright tomorrow and give new directions to the healthcare industry. The current post is describing how AI can aid wearable apps to serve the industry in better ways. Let’s see how it could be.
The term AI (Artificial Intelligence) was first coined in 1956. The reach of AI technologies was limited at the initial stage. When Apple has acquired Siri, a voice recognition system powered by AI algorithms, the attention of public towards AI increased tremendously.
AI is working in combinations of other technologies such as NLP (Natural Language Processing), ML (Machine learning), M2M (Machine-to-Machine) technology, and IoT (Internet of Things). Besides these, Computing Cognitive, Smart Robotics, Big Data, AR (Augmented Reality), RE (Recommendation Engine), CV (Computer Vision), SR (Speech Recognition), VPA (Virtual Personal Assistance) and much more in this respect.
The evolution of wearable technology taken place thanks to the invention of innovative wearable devices. For instance,
- Eyeglass on eyes
- Smart Watches on wrists
- Smart bands on various body parts
- Smart clothes on specific parts of the body or the entire body
- Inner the body like veins, viscera, muscles, bones, etc.
Smart wearable devices mainly consist of various sensors, tiny processing chips, and communication hardware like Bluetooth to exchange data and commands to and from other applications such as mobile/smartphone/tablet apps.
Use of Wearable Devices in Healthcare
Healthcare niche is an ideal candidate for implementation of wearable technologies in conjunction with other technologies like IoT and AI. For instance, healthcare industry uses wearable in:
- Motion Tracking: Tracking motion of the entire body as well as parts of the body like hands, legs, etc. During motion tracking wearable devices with the help of various healthcare related sensors collect the health data and ship to analyzer or app for analysis, presentation, visualization, and reporting.
- Diagnostic: Various external and internal wearable devices accumulate data of various body physiological and pathological parameters.
- Medication: Injecting medicines externally to internally possible with various wearable and embedded devices with the desired accuracy in micro dozes and in the completely programmed way automatically.
- Assist in Surgery: During surgeries, doctors have to monitor various body physiology parameters to avert any misshape constantly. However, the latest wearable technologies with a combination of AI, as well as IoT technologies make it possible without any complications or relying on wired monitoring devices.
Role of AI in Wearable Health App
Now, we know the reach of AI at a technical point of view. Based on it we can define the role of AI in wearable health applications.
Virtual Health Assistant
Just like Chatbot, VHA is working with the power of AI and assist in following ways:
- VHA can assist patients on common medical conditions like Chatbot
- It provides help in the diet by giving diet restrictions in various medical conditions
- It monitors patients based on history and data feed
- It directs doctors to engage with doctors whenever needed
- It can directs pharmacists and pharmacies for prescription refills, pickup, reminders, and much more
- It also recommends preventative health screening
AI technology helps in diagnosis by providing CT scan, X-ray reading analysis and much more. It can help in diagnosis suspicious lesions, rashes, nodules, cancerous tissues, and many things reveal by medical imaging technologies. Thus, AI helps in earlier diagnosis and treatment using its impeccable algorithms and save many lives as well as the precious time of doctors and lab technicians.
It is a great tool for patient engagement and provides quick as well as real-time responses to solve queries, medication management, and recommendations. It has some peculiarities like:
- It simulates human conversation
- It creates emphatic engagement by detecting emotions of patients and acting accordingly
- It has the capability of NLP, sentiment analysis, and concept mining in conversations
- It has image recognition, handwriting analysis, and barcode reading capacities
Managing Medical Records
It helps in compilation and analysis of medical records, data management, digital automation, robot collection, reformatting, and tracing of data for rapid medical services.
Assistance in Cardiology and Radiology Tasks
These two disciplines consume a lot of time in data accumulation and data analysis, so AI capable wearable apps help doctors directly
Wearable apps provide healthcare or medical data to remote data centers by collecting data directly from the patient’s body and help virtual doctors to provide prescription or recommendations in real-time
It helps in monitoring patient’s physical and mental conditions through various wearable devices connected with central analysis system and follow up prescribed treatments until doctors arrive. Such apps ask contextual questions regarding health and medications and detect symptoms through wearable devices to decide whether doctor’s visit is essential or not.
Assists in Clinical Trials
With AI-powered wearable devices and their applications, a clinical trial could be fast and help in the scanning of existing medicines to save lives and resources.
Contribution in Healthcare Training
With a combination of IoT and AR technologies, AI-powered wearable applications help trainee doctors to obtain exact simulations and insights of deeper organs without dissecting actual human bodies.
Herewith, I have provided a list of companies bringing AI capabilities in the healthcare industry through various applications including wearable devices.
- Lucina Health
We have seen that AI technologies have immense potential help in healthcare through wearable applications. However, creating an AI-powered wearable app for your healthcare app development idea is not a job of a small team, but it demands seasoned developers and AI experts to design and develop wearable apps for a better tomorrow.
Contributed by the team at SysBunny