Augmented Artificial Intelligence for Predicting and Preventing Complications of Type II Diabetes

Authors: Amina Khalpey, PhD, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS

Type II diabetes is a chronic disease that affects millions of people worldwide. It is a leading cause of blindness, kidney failure, amputations, and heart disease, among other complications. With the increasing prevalence of this disease, there is a need for innovative solutions that can help in early diagnosis, treatment, and prevention. Augmented artificial intelligence (AAI) is one of the promising approaches that can help in prediction and prevention.

AAI is a combination of machine learning, natural language processing, and computer vision. It is a type of artificial intelligence that enhances human intelligence and decision-making by providing real-time insights and predictive analytics. It is capable of analyzing large amounts of data and providing personalized recommendations for patients with Type II diabetes.

Analyzing Current Technology

One of the ways that AAI can predict complications of Type II diabetes is by analyzing electronic health records (EHRs). EHRs contain a wealth of information, including medical history, medication use, lab results, and lifestyle factors. This data can be used by this new system to identify patients who are high risk and provide recommendations for preventive measures.

Another way that AAI can help in preventing complications of Type II diabetes is by analyzing wearable devices. These devices, such as smartwatches and fitness trackers, can provide real-time data on a patient’s physical activity, heart rate, and blood glucose levels. AAI can use this data to provide personalized recommendations for diet, exercise, and medication use. It gives a more accurate representation of daily activities that would be vital when creating an optimal medical plan for treatment.

Early Diagnosis

Furthermore, AAI can help in an early diagnosis. Early diagnosis is critical in preventing the onset of complications. The system can analyze data from EHRs, wearable devices, and other sources to identify patients who are at high risk of developing Type II diabetes. By providing early diagnosis, patients can make lifestyle changes and receive early treatment, which can prevent the progression of this chronic disease.

Ai-Enhanced Healthcare Is The Future

AAI is a promising approach for predicting and preventing complications of Type II diabetes. By analyzing data from EHRs, wearable devices, and other sources, AAI can provide personalized recommendations and augment medical decision making for patient care. With further research and development, AAI can become an invaluable tool in the fight against Type II diabetes.