AI

Healthcare not only accounts for a large part of the US economy (about 20%) but also, usually, enjoys decent profit margins. So it should be no surprise that entrepreneurs have an interest in using AI to tackle healthcare problems. From reading x-rays, to predicting heart disease, to understanding protein binding, AI or AI-using applications have enjoyed considerable success in specialized areas. This article discusses the potential for using AI in medical transcription which, if successful and interconnected, could improve healthcare across the board.

AI now has business and innovation momentum not seen since at least the internet bubble and, given the greater diffusion speed of technology now, perhaps ever. The question is, will it last and lead to a Kurtweilian singularity or will it soon die out?

The successes of new AI technology have received a great deal of attention of late. And, of course, these include applications in healthcare. But this is not the first time of great hope that AI will finally contribute to improved care at lower cost, and prior episodes did not end with much to show.