There’s been significant investment in companies creating artificial intelligence (AI) applications for health and health care over the last decade. But while there have been successes, notably in the area of medical imaging, the industry is known more for not yet living up to its potential — think IBM Watson.
The slow pace of AI adoption in health care stems from the fact that health AI sits on the border between two large industries, health care and tech. And like the border between two nations, there are significant differences on either side.
During my career, I have spent time on each side. Now, as the CEO of a company on the border, I’ve developed a deeper understanding of the differences that create barriers to mutual innovation. For health AI to achieve its potential, health care and tech companies must keep the big picture top of mind: health care is about saving lives.
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