# Smart IoMT Framework for Supporting UAV Systems with AI
## 1 Introduction  
Health is of major concern to the human body since it determines a person's well-being and ensures a prolonged lifespan. Over the years, the world has been facing the inability to cope with the spread of chronic diseases due to their more advanced and mutated versions constantly evolving. This makes it essential to combat major health issues all over the world. IoT has been majorly used in improving the technology of treating patients [1]. The growth of IoT over the past few years has been exponential. In 2012, there were 8.7 billion devices connected, but it grew exponentially and, in 2020, there are 50.1 billion devices connected [2].  
In [3], it is further illustrated that the market share is anticipated to be held by the most prevalent IoT applications by the year 2025. It can be noticed that 41% of the market share is for healthcare applications while 33% is for manufacturing, 7% is for electricity and other applications such as security, infrastructure, agriculture, and resource extraction, and vehicles account for the other 19%. The range of the use of IoT in the healthcare sector is enormous. It has many different applications which include telemedicine, inpatient monitoring, clinical operations, workflow management, telemedicine, connected imaging, medication management, and other applications. In [4], it is established that inpatient monitoring has the largest market share among all different applications. Considering themerits of IoT and its huge market in healthcare, this research work primarily focuses on the implementation of an IoMT framework for health monitoring systems onto UAVs to facilitate monitoring and diagnosis of patients in remote areas. This research brings out the concept of a mobile system that can be utilized by anyone and can be accessed anywhere. Surveillance UAVs have shown promise and their implementation in medicine still shows promise to improve the existing infrastructure.  
Remote health monitoring is currently being implemented for various purposes that range from protecting the elderly and sending regular updates to their kin and even reducing the costs of visiting a doctor in-house. Individuals who are subjected to remote monitoring are not only shielded from a mishap, but it also contributes to the prevention of premature mortality by constantly monitoring and diagnosing the patient. There are countless other benefits such as improving data-driven decision-making and helping patients improve self-management while also reducing the cost for them. It also improves access to care, builds patient engagement, and combats clinical staff shortages. The Unnamed Aerial Vehicles (UAV) provide complete support to these kinds of people by providing medical assistance to these elderly people if they get ill. They are capable of supplying medicine to the patients if their body vitals fluctuate. The IoMT assisted UAV introduced additional aspects to the healthcare system. There are several approaches to incorporating IoMT into the health monitoring system. Clinics, hospitals, and other healthcare facilities are now utilizing IoT to increase patient comfort, improve medical decision-making, and make facilities safer for both patients and staff. IoT integration in the healthcare system makes it simpler than the traditional healthcare system which does not use IoMT. Additionally, it is used in e-health applications for early symptom detection, medical identification, emergency alerting, and computer-assisted therapy.