The AI Revolution in Medicine, Revisited: Empowering patients and healthcare consumers in the age of generative AI

In 'The Structure of Scientific Revolutions', Thomas S. Kuhn argues that scientific progress does not occur through a gradual accumulation of facts, but rather through periodic revolutions that disrupt existing paradigms. Kuhn introduces the concept of 'normal science' and 'revolutionary science', where normal science involves puzzle-solving within an established paradigm, and revolutionary science involves a paradigm shift that fundamentally changes the way scientists view the world. He explains that these revolutions are driven by the accumulation of anomalies that cannot be explained by the current paradigm, leading to a crisis and eventually a new paradigm that offers a different perspective and new ways of conducting research[1][3][5].

In this influential business book, Clayton Christensen shows how even the most outstanding companies can lose market leadership when they fail to adapt to disruptive innovations. Christensen explains why companies often miss new waves of innovation and provides a set of rules for capitalizing on disruptive technologies. The book uses examples from various industries, including the disk drive, mechanical excavator, steel, and computer industries, to illustrate trends that lead to success or failure in the face of disruptive technologies.