Preprint Article Version 1 This version is not peer-reviewed

ChatGPT: Transforming Healthcare with AI

Version 1 : Received: 9 October 2024 / Approved: 9 October 2024 / Online: 9 October 2024 (12:03:49 CEST)

How to cite: Neha, F.; Bhati, D.; Shukla, D. K.; Amiruzzaman, M. ChatGPT: Transforming Healthcare with AI. Preprints 2024, 2024100686. https://doi.org/10.20944/preprints202410.0686.v1 Neha, F.; Bhati, D.; Shukla, D. K.; Amiruzzaman, M. ChatGPT: Transforming Healthcare with AI. Preprints 2024, 2024100686. https://doi.org/10.20944/preprints202410.0686.v1

Abstract

ChatGPT, developed by OpenAI, is an advanced large language model (LLM) that leverages artificial intelligence (AI) and deep learning to generate human-like responses. This paper explores its applications in digital health and healthcare, focusing on enhancing patient engagement through medical history collection, symptom assessment, and decision support to improve diagnostic accuracy. We also examine its role in promoting health literacy and clinical decision-making across various organ systems. Despite its advantages, the integration of ChatGPT in healthcare poses limitations and risks, including the potential for inaccurate information, overreliance by users, and ethical concerns related to informed consent. We discuss the challenges of keeping pace with rapidly evolving medical knowledge and highlight the need for continuous updates. Additionally, the paper addresses intellectual property and regulatory issues associated with AI deployment in medicine. Through this analysis, we provide insights into the benefits and potential risks of employing ChatGPT in healthcare.

Keywords

ChatGPT; Large Language Models (LLM); Artificial intelligence (AI); Deep Learning; Digital Health; Healthcare; Health Literacy; Medicine

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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