Authors: Howard R Moskowitz, Sunaina Saharan, Stephen D Rappaport.
Through a combination of generative artificial intelligence and experimental design of ideas (Mind Genomics), the paper shows how to identify the messages about asthma that are relevant to people and make suggestions that people can follow. The study, with 101 respondents, shows the path by which a topic (asthma) can be identified, how artificial intelligence generates questions and ideas in minutes and hours, and how a study that is run in a day identifies what messages resonate in the minds of people that describe them and represent their actions that can be done easily. The paper shows the contribution of clustering to developing mind-sets of people with radically different ways of responding to the same message. The approach, doable in less than 24 hours at low cost, is suggested as a new feature in the education of medical professionals.
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