Artificial Intelligence in Exponential Health – Aalok Yashwant Shukla – Medium

To enable exponential health improvements we need to understand what artificial intelligence is, what we can do with it and how to do that. Artificial Intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. This the force multiplier that sits on top of all the low cost sensors and patient data inputs. For the A.I possibilities we can then think of D.A.S.H when looking at applications for health transformation. Neural Networks – e.g systems modelled on the brain & nervous system these are often used in deep learning systems and are used in character recognition, time series prediction, expert systems and classification Evolutionary computing – e.g systems modelled on evolutionary programming, evolution strategies and genetic algorithms used to solve complex real world problems e.g in populations or swarms Computer Vision – e.g systems enabling object recognition, image understanding and augmented reality used to automate vision based problem solving.