Future-proofing AI: Embrace machine learning now because healthcare adoption is picking up speed

Artificial intelligence in healthcare is at the end of the beginning: It's been researched, introduced, proven to work, and it's been put to use in real clinical settings. Healthcare has only explored the tip of the iceberg and, of course, there is much work ahead to improve patient care. AI in healthcare is beginning to emerge out of its infancy, said Ted Willke, senior principal engineer at Intel Labs. "We're seeing healthcare organizations and hospitals move beyond AI-based proof-of-concepts and program pilots into developing and adopting systems that work the best for their needs," Willke said. "AI in healthcare, like in other industries, began as a way to help these organizations manage their vast amounts of data and simplify daily tasks, but we're starting to see the emergence of truly innovative uses of AI in healthcare – from finding complex patterns in medical imaging to genomic sequencing to designing patient treatment plans."