The Internet of Things (IoT), which connects medical equipment and apps to the healthcare IT system, has been driving the expansion of wearable devices in the healthcare business, which is now known as the Internet of Health Things (IoHT). In medical equipment, the Internet of Things entails machine-to-machine (M2M) communication and connectivity to a cloud platform, capturing, storing, and analyzing data created by devices.
“The overall wearable AI market is expected to increase at a CAGR of 29.75 percent from USD 11.5 billion in 2018 to USD 42.4 billion in 2023,” according to the report. (MarketsandMarkets source)
Wearable IoT and AI intend to improve functionality and user experience by providing consumers with real-time insights, data, and advice to help them make better lifestyle decisions.
AI-enabled wearables in healthcare.
Wearables in healthcare often collect, monitor, and interact with users' health data. It alerts the user and clinician to numerous health markers in real-time— real-time health monitoring wearable sensors, exercise wearables, geriatric care wearables, and so on.
Wearables in the healthcare business are leveraging AI in various ways to improve people's quality of life. Take, for example, the Google Brain initiative's researchers' AI-powered diabetic eye disease diagnosis. In this system, neural networks are used by mathematical algorithms based on Deep Learning to learn and accomplish a specific task through repetition and self-correction.
Over 100 human-graded fundus images were utilized for training this mathematical method, which indicates varied amounts of retinal bleeding induced by elevated blood sugar levels. Each print is assigned a severity grade by the algorithm, compared to a previously determined quality from the training set. The parameters are then tweaked to reduce the inaccuracy of that image. This method is performed many times for each image in the training set, allowing the algorithm to calculate the diabetic retinopathy severity from the image's pixel intensities for all photos in the training set.
Another example is next-generation wearables for blind people, which employ ultrasounds to identify obstacles in the user's path and alert them to navigate objects around them safely.
In the healthcare industry, these are some instances of advanced versions of next-level medical devices. Now let's look at how artificial intelligence is affecting the sports sector.
AI-enabled wearables in fitness.
AI wearables can help fitness enthusiasts with their daily workouts. The majority of fitness wearables enable the user to keep track of their actions. If a person walks 12000 steps, the wearable device will count and display the steps. However, the problem with these wearables is that consumers don't know how to use the data after a certain point. Wearables with Artificial Intelligence (AI) may track data and provide insights into what the user needs to consume, how much sleep they should get, and how they should train to enhance their fitness, among other things.
Wearables now exist in various shapes and sizes, with features such as integration with intelligent voice assistants (Alexa, Siri, and so on). Advanced sensors are also included in these wearables to track, analyze, and improve users' fitness or sport-specific activities by providing real-time user insights.
These smart wearables go above and beyond by providing actionable insights to the user to lessen the danger of injury. Smart helmets for bicyclists, smart glasses, smartwatches, fitness bands, and yoga trousers that help with correct poses are just a few examples.
AI-enabled intelligent assistants Bluetooth is a wireless technology that allows you Biosensors to measure heart rate, elevation, motion, proximity, and touch in headphones that also serve as fitness trackers. In addition, these headphones come with an AI-based personal trainer that helps you work out smarter by tracking your running, cycling, and other exercises in real-time. These headphones provide the best approach to attain your exercise objectives based on your health criteria.
Wearable gadgets powered by AI algorithms are being developed rapidly, thanks to advances in both hardware and software. Bulky devices are no longer necessary. Wearable devices are now available in various shapes and sizes, making them easy to carry and wear by patients, resulting in better compliance. The advancements in artificial intelligence in recent years have aided in the acceptance of these medical gadgets.
Here are some of the ways that AI and IoT are helping to improve healthcare delivery via telemedicine.
Personalization of care
The data acquired by wearable devices allows healthcare providers to use a data-driven approach to patient treatment. Doctors may use data to make informed decisions and create a personalized health plan for each patient.
While healthcare technologies allow patients to access their medical data, resulting in more patient participation, healthcare providers' intervention becomes necessary. Care professionals must interpret and explain patient data, which is where telemedicine comes into play.
AI algorithms can create personalized and individualized action plans using data collected by IoMT devices. The treating physician can then guarantee that the protocols are followed, assess progress, and prescribe changes as needed, resulting in better health results.
Early diagnosis and timely intervention
Patients at high risk of acquiring diseases can be identified using artificial intelligence and machine learning techniques. The use of AI to analyze radiological and histological data has already yielded encouraging results. Using AI-powered wearable devices to assess patients and generate a risk profile can lead to quicker telemedicine interventions and better overall outcomes.
Identifying "at-risk" patients also enables the establishment of unique touchpoints and prompt interventions, minimizing hospital burden, lowering hospital admission and readmission rates, and lowering overall healthcare delivery costs.
When deciding when to contact the doctor, the patient and his caretakers may not be the best judges. Still, AI algorithms that analyze patient data provided by wearable devices regularly can lead to prompt interventions.
Remote patient monitoring
In contrast to standard hospital setups where nurses and doctors check on the patient regularly, wearable gadgets monitor vitals on a minute-by-minute basis. Any irregularity can be quickly discovered, resulting in the prompt notification of healthcare personnel and timely care delivery.
Wearable technology powered by artificial intelligence has revolutionized the way we collect and evaluate patient data. The widespread availability and usage of these devices have made post-hospitalization surveillance a lot easier. Healthcare providers now have real-time access to patient data. AI-processed data provides critical insights into trends and patterns, resulting in increased efficiency in healthcare delivery.
Telemedicine is a cost-effective approach for scheduling follow-up appointments and treating patients remotely. Healthcare practitioners can treat a large number of patients while lowering healthcare delivery expenses.
Virtual healthcare also saves time and resources for patients by eliminating the need for them to travel to and from the hospital for follow-up appointments, decreases hospital readmissions, and, most significantly, minimizes preventable deaths.
To summarise, artificial intelligence in wearables pushes the boundaries by assisting patients and clinicians with remote tracking, precautions, remote diagnostics, and guiding patients in making educated decisions. In the fitness industry, AI enables devices to act as artificial assistants, assisting consumers in taking care of themselves.
Teksun has hands-on technical experience designing wearable devices from the ground up for medical applications, including monitoring, diagnostics, analysis, imaging, wearable health, and telemedicine solutions. To learn more, contact one of our medical specialists.
Sheetal Tank is associated with Teksun Inc as a Content Writer. She has the technical precision, industry experience, and creativity to craft technically detailed write-ups with ease. She has more than 4+ years of experience in Content Writing, and her focused domains are AI, IoT, Web, Mobile, and Cloud Automation.