AI transforming healthcare diagnosis


In the growing digitization and automation of different industries, artificial intelligence has a significant role to play. The speed and efficiency of digital transformation have been improved by advanced technologies such as AI, machine learning, NLP, etc. With these technical advances, life is convenient and easier.
Healthcare is an important sector with flaws and quality degradation that has been crippled. However, to increase the efficiency and speed of service, many healthcare providers have invested in technology. In drug production and surgical assistance, AI has also demonstrated its expertise. Diagnostics is another healthcare field going through a strong revamp.
Healthcare diagnostics is undergoing a digital transformation with the use of digitally activated diagnostic instruments and wearables that provide the most precise results using AI and its subsets. One of the digital developments to watch for in healthcare is devices linked via IoT and wearables that can detect and diagnose diseases. The Markets and Markets report shows that the global wearable AI market is expected to hit USD 42.4 billion by 2023, up from USD 11.5 billion in 2018, rising during that time at a CAGR of 29.75 percent.
Many improvements have been made possible by the advent of the Internet of Things (IoT) as it can connect devices and neural networks for better monitoring and management. IoT is also known as the Internet of Health Stuff (IoHT) in the health sector, which links devices over the internet in the healthcare sector.
Many millennials use wearables to track their physical activity. To be able to direct people on their health routine and even diagnose health problems, AI-enabled wearables have come a long way. These wearables will share the vitalities of patients with the doctors in real-time and gain data-based insights. “While two-thirds of the world’s population currently does not have access to diagnostic care, some of the technologies and devices that have emerged in the last few years can certainly help bridge this gap,” a Financial Express study notes in the context of wearables.
Wearables allow individuals to access on-demand health information for routine checkups in hospitals and laboratories without cutting rounds. Wearables are self-diagnosis enablers that make individuals conscious of their health problems. Self-diagnosis is more effective in removing the fears and mistrust about equipment and hospitals as the reliability improves as none else is involved in the monitoring. Let’s look at some of the best devices used for diagnosing healthcare.
Blood pressure is one of our most challenging health concerns, and regular monitoring is needed to regulate blood pressure. As we can bear them all over us, wearable devices designed to track heart rate and pressure can be useful. A watch that automatically tracks real-time heart rate, blood pressure and ECG is the MorePro fitness tracker. The watch can also be used for physical tasks, sleep, etc. monitoring. Another example is the smartwatch from Apple that has blood oxygen sensors to monitor levels of blood oxygen.
A groundbreaking move towards digital transformation is wearable biosensors. To monitor patients, Philips has come up with self-adhesive biosensors. Vital signs such as heart rate, ECG, skin temperature, and respiratory rate are calculated by these wearable biosensors. They also have the potential for falls to be observed. Since they are lightweight and wireless, carrying and using them is easy.
Breast cancer can be identified by another portable system produced by Niramai solutions. One of the diseases that need an early diagnosis for identification and prevention in breast cancer. The Niramai computer is a low-cost, automated screening tool that detects breast cancer using AI algorithms. Thermal analytics are used by this system and maximum privacy is guaranteed. The standard of diagnosis and patient monitoring will be improved by wearable devices and AI.

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