The problem RoboDoctor solves

Rather than robotics, AI in healthcare focuses on a large amount of data that can save lives by analyzing them. This includes treatment methods and their outcomes, survival rates and speed of care gathered across millions of patients, geographical locations, and innumerable and sometimes interconnected health conditions. This computing power can easily analyze the trends in data and can make predictions that a normal human brain can’t.

Challenges we ran into

Accuracy plays a very crucial role in the healthcare sector. Because of the availability of less data, we have to compromise the accuracy of models. Also, healthcare is an unorganized sector, as most prescription is in handwritten form and converting them into digital form is not an easy game.