Insig

In early 2015, we realized that there was a wealth of medical knowledge online but no intelligent interpretation or curation of it. We aimed to solve this by creating an Artificial Intelligence engine that could bring a patient to diagnosis based on their current medical state, symptoms and past medical history. In our pursuit we analyzed over 3 million patient records in engineering an AI model that could lead a naive patient right to diagnosis through simple questioning. Our algorithm became quite robust and reached nearly 80% accuracy. As we continued our research, meeting with more and more doctors, we found that the most immediately impactful application of our AI would come in automating medical documentation and administrative tasks slowing down practitioners.