Dr. Bilal Thangal T M
Artificial intelligence (AI) initially made its mark in academia, followed by transformative impacts in robotics and automation. Today, AI is set to revolutionize healthcare and diagnostics in a similarly profound way. Through AI-powered medical diagnostic devices and wearables, the technology is becoming an integral part of people’s lives, allowing for earlier detection of potential health risks and empowering individuals to take preventive actions.
For tech-savvy generations like Millennials and Gen Z, AI has become an essential tool in health management. These generations are highly dependent on technology-driven devices and wearables that provide faster, more efficient, and round-the-clock access to health screenings. Wearables equipped with AI-driven diagnostic imaging, predictive analytics, and digital health records are creating a comprehensive ecosystem for disease prevention.
Beyond smartwatches and fitness trackers, smartphones are also playing a key role in health monitoring. These devices and apps allow users to track their physical activity, vital signs, and overall health in real-time. Studies show that one in four adults in the U.S. own a smartwatch, and more than two-thirds of Gen Z and Millennials in the U.S. use wearables to monitor their health. This widespread adoption of AI-powered devices underscores the strong connection between technology and health-conscious consumers in advanced economies.
The market for wearable medical devices is also experiencing rapid growth. What sets AI-driven wearables apart is their ability to offer personalized alerts and proactive recommendations, enabling users to seek medical care promptly in emergencies. Additionally, these devices have become a fashionable statement. In India, the wearable medical devices market, valued at $1.3 billion in 2022, is expected to reach $5.7 billion by 2027, with the global market projected to hit $14.5 billion.
AI-driven medical diagnostic devices are further transforming the health screening landscape. These devices not only provide general health insights but also predict long-term health risks, allowing users, even at a young age, to take control of their lifestyle and well-being. By analyzing data patterns, AI offers predictive health insights, helping individuals understand their risk trajectory and make informed health decisions.
The future of AI-based diagnostics depends on the continued evolution of advanced AI tools that create more accurate and personalized diagnostic models. AI algorithms analyze vast amounts of data—such as medical images, bio-signals, and patient history—to identify potential health risks early, enabling preventative interventions and reducing the likelihood of chronic diseases.
One of the key advantages of AI-based diagnostic devices is their ability to offer highly personalized, private, and preventive care. As data privacy and security are top concerns for Gen Z, these AI-driven tools cater to their desire for confidential and customized healthcare solutions. As digital-first generations increasingly prioritize privacy and tailored services, AI and machine learning technologies will continue to meet their expectations for advanced, preventive health management.
Authors Biography
Dr. Bilal Thangal is the Medical Lead at NURA, where he standardizes screening protocols, updates guidelines, and enhances medical procedures. He also trains doctors and staff in medical ethics and patientcentered care. Before joining NURA, Dr. Bilal was a Senior Resident in Critical Care in Kerala for six years, specializing in ICU management.
