Diabetes & its Complications

Diabetes & its Complications

Open Access
ISSN: 2639-9326
Research Article

Mind-Sets Regarding Diabetes: How AI + Mind Genomics Thinking Provides an Empowering New Approach

Authors: Howard R. Moskowitz, Stephen D. Rappaport, Sharon Wingert, Taylor Mulvey, Petraq Papajorgji, Kenneth Tomaro, Martin Mulvey.

DOI: 10.33425/2639-9326.1116


Abstract

This paper presents a new approach to understanding the mind of people. The approach uses AI (artificial intelligence represented by LLM, large language models) to synthesize how a “mind-set” of similar-thinking individuals would feel in a specific situation. The situation here is defined by the user as pertaining to an 80-year-old person facing the prospect of diabetes. The approach “suggests” to the AI that there are a variety of mind-sets, requesting that AI answer 12 questions about each mind-set. The paper presents the results of this exercise for a variety of these mindsets, and further demonstrates the use of AI to analyze far more deeply the original information generated by AI for one of the mind-sets. The approach is presented as a new tool in the world of science, health, and social issues.

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Citation: Howard R. Moskowitz, Stephen D. Rappaport, Sharon Wingert, et al. Mind-Sets Regarding Diabetes: How AI + Mind Genomics Thinking Provides an Empowering New Approach. 2024; 8(2). DOI: 10.33425/2639-9326.1116
Editor-in-Chief
Parijat De
Parijat De
Department of Diabetes Endocrinology & Metabolism | City Hospital

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