Artificial intelligence was supposed to transform health care. It hasn’t.

“The promise of artificial intelligence in medicine is to provide composite, panoramic views of individuals’ medical data; to improve decision making; to avoid errors such as misdiagnosis and unnecessary procedures; to help in the ordering and interpretation of appropriate tests; and to recommend treatment.”

First, the cost of healthcare. The exponential increase in cost stems partiallyfrom the need for highly trained staff (PhDs, MDs, nurses, etc)—especially as the cost of skilled labor is growing far faster than inflation. As AI becomes increasingly able to function as a technical expert, there are opportunities to extend the abilities of our existin... See more

Over time, this progression leads to the potential for AI-driven co-pilots for life sciences and healthcare that greatly scale skilled labor or that uplevel less-skilled labor. For example, AI could suggest answers or ideas, allowing trained humans to choose the best ones, curating results and skipping over any wrong answers. This approach integrat... See more

“Eventually, doctors will adopt AI and algorithms as their work partners. This leveling of the medical knowledge landscape will ultimately lead to a new premium: to find and train doctors who have the highest level of emotional intelligence.”

Part of the challenge of “AI” is we keep raising the bar on what it means for something to be a machine intelligence. Early machine learning models have been quite successful in terms of real world impact. Large scale applications of machine learning today include Google Search and ads targeting, Siri/Alexa, smart routing on mapping applications, s... See more