ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications

Abstract

The rapid advancement of generative artificial intelligence (AI) has initiated transformative changes in diverse sectors, the medical field being a prominent beneficiary. This article provides a comprehensive exploration of the impact of AI in medicine, delineating the range of opportunities and challenges that accompany its adoption. Many existing medical algorithms, while valuable, exhibit a propensity for singular-task orientation, potentially leading to suboptimal interactions and systemic disruption. This paper examines the potential of large language models (LLMs), such as ChatGPT, to improve medical algorithms. It discusses the basic principles of LLM and provides a detailed analysis of ChatGPT, highlighting its exceptional interactive capabilities. Additionally, the study evaluates the real-world applications of ChatGPT in the medical domain, comparing its performance with other leading LLMs through clinically relevant experiments and rigorous analysis. Although ChatGPT is still in its basic versions, this work emphasizes the need to explore and improve its capabilities for medical applications to improve interaction and reduce human costs in the future.

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