Medicine is at the crossroads of next set of innovations using machine learning and artificial intelligence(AI).Our team comprising of physicians, innovation business managers from Cleveland Clinic have partnered with machine learning expert professors from Carnegie Mellon University to create the next generation of AI applications for healthcare.

This collaborative effort across sciences is focussed on utilizing sensors,big data and intelligent algorithms to provide meaningful information to the healthcare providers and aide their decision making.With the implementation and integration of electronic medical records(EMR) there has been a huge surge in data but meaningful use still remains a challenge.Implementation of EMRs have not decreased the errors in patient safety but only changed its phenotype.

We are at the forefront of creating smart solutions for the clinicians, created by clinicians, innovators and engineers to improve healthcare delivery, remove inefficiencies,decrease cost and enhance patient safety.

Our first joint effort,Artificial Intelligence Diagnosis Engine(AIDE) which is in the second round of Artificial Intelligence XPrize is being developed to process all available data and provide machine learning support to the clinicians to enhance their cognitive decision making and make it more efficient.