Accessing health data

AI relies on accessing and correlating a large amount of high-quality data. The data models incorporate factors like state of health, medical results, and clinical studies. Clinical standards for treatments defined by medical associations are also used to develop computational models and their architecture. Our work primarily focuses on key clinical indications like cardiovascular diseases, cancer, and neurological diseases.