How AI is Transforming the Monitoring and Management of Chronic Diseases
By 2027, the global digital health app market is projected to surpass $486 billion, according to a report by consulting firm DelveInsight source. Approximately half of the apps being developed are designed for managing chronic diseases such as heart disease, diabetes, neurodegenerative conditions, asthma, and epilepsy. The development of new mobile applications is shaping the future of medicine, providing long-term treatment options that enhance quality of life and therapy effectiveness.
Digital Health Management — Trends of Today and the Future
Technological advancements are transforming healthcare delivery worldwide. Trends in digital health and chronic disease management are presenting new opportunities for both patients and doctors.
Medical Analytics
Healthcare generates vast amounts of data from various sources: medical records, imaging, wearable devices, and mobile health apps. Proper analysis of this information improves the overall efficiency of healthcare systems.
Remote Patient Monitoring
Monitoring patient health online simplifies medical care for those undergoing long-term treatment. This is especially critical when clinic access is limited or if patients have physical limitations.
Artificial Intelligence
AI’s unlimited capabilities are already revolutionizing healthcare today: virtual assistant bots, disease prediction, robotic surgery, self-diagnosis services, mental health support, and remote monitoring of patients.
Mobile Health Products as an Integral Part of Healthcare
The role of mobile health services is to bridge the gap between medicine and patients through digital devices. Companies that adhere to global standards and embrace eco-friendly approaches not only aim for financial success but also focus on meeting human needs.
What features do health trackers offer, and how do they benefit users?
- Help maintain a healthy lifestyle: track diet, exercise regularly, and monitor calories burned
- Store and track lab results and diagnostic procedures
- Provide personalized medical advice to prevent exacerbations and critical conditions
- Expand access to professional care without location constraints through telemedicine
Mobile apps enable efficient and comfortable health management. Self-monitoring is particularly important for patients with chronic conditions.
Digital products make it easier to adhere to treatment regimens and facilitate remote monitoring. AI is becoming more integrated into digital health due to its ability to store, process, and analyze patient information while continuously learning.
KinesteX AI: A Smart Extension for Health Trackers
We have developed an embedded AI assistant for health management services. The KinesteX AI trainer features over 430 exercises, categorized by fitness levels, including rehabilitation and recovery workouts. All users need is a smartphone to start. KinesteX AI monitors exercise technique through the camera and provides recommendations for correcting body posture, ensuring efficiency and safety during workouts.
KinesteX AI tracks workout duration, errors, calories burned, and steps taken. Additionally, the AI trainer collects up to 30 types of user data and uploads it directly to the platform without cloud storage.
Analyzing user data helps companies and developers of digital health services make interactions more personalized. The KinesteX AI trainer enables people of all health levels to stay active.
KinesteX AI: Benefits for Businesses and Users
The AI-powered trainer sets a high bar for achieving goals by tracking calories burned and other results through numerical data, while the voice assistant helps correct exercise techniques.
We simplify the integration of KinesteX AI into your app and provide lightweight packages for Flutter, Swift, React Native, Kotlin, and PWA support, as well as API access for other programming languages. Custom design setup takes just 15 minutes, and full integration about 1 hour. You can add new exercises if they are not in the library and improve the user experience.
