The epidemic of diabetes has become a subject of concern and debate at healthcare conferences and events. Many experts believe that we need a solid approach to preventing this serious problem in vulnerable populations and come up with promising treatment, management, and detection methods. In such a scenario, artificial intelligence has stood out as a promising solution and has found several uses, as far as diagnosis is concerned.
In the USA alone, over thirty-seven million people have diabetes; while referring to AI, it is believed that by 2045 every industry will get covered by machine intelligence technologies in many ways. Medical institutions are diligently testing how to integrate advanced technologies with healthcare services to transform diabetic treatment more sustainably.
Diabetes is a chronic ailment that results in an irregular supply of glucose in the blood. From a medical perspective, there is no substance of any full proof curable treatment yet. Though we have discovered medicines that help the patients to control their blood glucose, we still need more accurate and advanced technologies that can make a real-time diagnosis and even help in preventive care.
Here are five ways how artificial intelligence can be a sparkling light for diabetic people and also help to improve its treatment:
Medical professionals and doctors rely on artificial intelligence to diagnose diabetic retinopathy, a disease that can lead to blindness in diabetic patients. It damages sensitive nerves and tissues attached to our eyes' retina. Artificial intelligence uses convolutional neural networks to identify this specific eye problem 95 percent more accurately than the traditional ways, providing consumer satisfaction. With such accuracy, doctors can provide the best treatment available.
Top healthcare conferences are also discussing the fact that our DNA and genes, to an extent, are responsible for our overall mental and physical health. Almost every chronic ailment shows up in our body for two reasons: genes and lifestyle. Advanced technologies like epigenetics and molecular phenotyping research our DNA molecular structure and predict what kind of disease we will likely develop in the future. This technology provides almost accurate results and has already been used in some parts of the world. Researchers have found more than 400 signals that help to know whether a person is vulnerable to a particular disease.
A traditional way of measuring our blood glucose is to use the glucose machine by pricking a needle into our fingertips to get a drop of blood to calculate our blood glucose. However, this method can be time-consuming and even costly for many. AI-based glucose checkers are real-time assessment machines that can give accurate reports in seconds without needing needle pricking. In fact, hundreds of mobile applications and wearables are diabetic-friendly now; patients can calculate basic health parameters anytime.
People living with diabetes are susceptible to vascular diseases such as strokes, blood clots, arterial disease, and peripheral neuropathies. These complications occur suddenly, and they are usually quite challenging to predict at an early stage. Like diabetic retinopathy, AI, using deep learning and biometrics, will help to diagnose these life-threatening risks, so that enough attention is given at the right time.
Diabetes continues to affect millions of people. The healthcare industry is constantly innovating new ways to tip the scales in our favor. In such a landscape, artificial intelligence has brought new hope for doctors, and there is a consensus that AI tools will play an important part as the world looks for a cure.
The Health 2.0 Conference's Spring Edition focused on diabetes management and technologies that might elevate the quality of life of those living with the disease. To stay updated, do attend our upcoming events in Las Vegas and Dubai!
A valuable member of the Health 2.0 Conference team, Shivani Verma is enthusiastic about keeping herself updated on the latest developments in healthcare and wellness. She walks the extra mile to acquire information around MedTech wearables, fraud identification, AI in healthcare, and how to spot fake and spam health insurance schemes. She swears by yoga and is an avid movie buff.
