Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses

arXiv:2404.14454v1 Announce Type: new
Abstract: Addressing the global challenge of breast cancer, this research explores the fusion of generative AI, focusing on ChatGPT 3.5 turbo model, and the intricacies of breast cancer risk assessment. The research aims to evaluate ChatGPT's reasoning capabilities, emphasizing its potential to process rules and provide explanations for screening recommendations. The study seeks to bridge the technology gap between intelligent machines and clinicians by demonstrating ChatGPT's unique proficiency in natural language reasoning. The methodology employs a …

abstract arxiv assessment cancer capabilities challenge chatgpt chatgpt prompts cs.ai cs.cl embedding explainability fusion generative global prompts reasoning reinforcement research responses risk risk assessment rules screening turbo type