Elad Benjamin is co-founder and CEO of Zebra Medical Vision, a company which uses machine learning to train up computers to help clinicians analyse medical images and make a more accurate diagnosis. Stefan Behrens is co-founder and CPO of GYANT, which has developed an e-health app that uses artificial intelligence to analyse patient’s symptoms through Q&A and advise them on what steps to take to restore their health. While these two speakers represented vastly different points on the e-health spectrum, their ultimate goals were very similar. The difference basically lies in the fact that one company has set out to assist clinicians while the other focuses directly on the patient. The similarity lies in their common desire to create an intelligent machine-based medical system. They both agree that medical care will in future depend on close collaboration between tech developers, hospital staff and patients. The three-way communication system based on data that is now taking shape is the main change that has occurred in the healthcare sector over the last five years. The challenge is now to incorporate AI more intensively into the system so as to be able to collect sufficient data and build up increasingly precise datasets in order to enable more accurate diagnosis. These datasets will both enable medical staff to address the needs of patients more precisely as soon as they arrive at the hospital and encourage people to take more responsibility for their own care at home. Moreover, far from making healthcare less individual, the new ‘smart’ approach is designed to help strengthen personal relations between doctor and patient.
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By Théo Roux