Deep Learning in Healthcare Part 1: Opportunities & Risks

By Sophie Curtis, Marketing Director at RE•WORK March 30, 2016 The application of artificial intelligence and deep learning in healthcare and medicine is often quoted to grow tenfold in 5 years, from algorithms that learn to recognise complex patterns within rich medical data, to analysing real world evidence for personalised medicine, to discovering the sequence specificities of DNA-binding proteins and how it can aid genome diagnostics.As part of our ongoing speaker Q&A series, we asked deep learning and healthcare experts for their predictions for the field over the next 5 years, the risks involved with AI integration, areas for disruption and more.Diogo Moitinho de Almeida is a data scientist, software engineer, and hacker. He joined Enlitic as Senior Data Scientist in 2014, where he develops deep learning algorithms for medical diagnosis.Sobia Hamid holds a…


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