The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

The ability to sense valuable strategic options and then to organize effectively and efficiently to embrace them is at the core of a company's dynamic capabilities. This article identifies and discusses a specific type of sensing that we call "generative sensing." Companies and executives that display generative sensing capabilities proactively generate hypotheses about observed events and then test these hypotheses to generate new data in a recursive process. Borrowing from design cognition research, we discuss the two microfoundations of these capabilities- framing and abduction - and provide examples of how they are embedded in companies to enhance option generation.