About MedAI Network
The MedAI Network is a full service platform provider for telemedicine on the blockchain. Our platform, unlike any other, permits and supports the transfer, transmission, storage, interpretation, second opinion, and evaluation by artificial intelligence of medical data and medical images across all subtherapeutic areas and medical specialties. The MedAI network is not limited to one medical specialty or subspecialty. The network can support any remote consultation between patient, physician, institution or sponsor. The internet has matured to enabling patients to seek online consultations at their convenience from a geographic and timing perspective. The advent of over-the-counter tests to analyse your blood, sequence your genome or check on the bacteria in your gut is shifting the ability to obtain care into the patient’s hands. The development of technology is causing a shift. The growth of various technologies such as the smartphone and wearables are allowing patients to monitor and treat their own health. These technologies if coupled with access to your own medical records and the ability to share this information with those you trust amplifies and exponentially increases empowerment of the patient and provider. Technology allows a patient to reduce inefficiencies in their treatment and also provide data to help train medical algorithms.
A patient concerned about their heart can now buy a watch which contains a medical-grade monitor that is able to detect an arrhythmias. There are apps that can diagnose skin cancer to assess for concussion to Parkinson’s disease. There is significant medical data being generated minute by minute which needs to be transferred, stored, and analyzed at medical grade. Although health records and imaging are evolving to being electronic, they are still generally inaccessible and trapped. In addition, most health records are in a format that machines cannot read. The MedAI network empowers future AI technology to, for example , provide automated medical evaluation and diagnosis from medical imagery and data provided through the network