Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Sep 18, 2024)
Date Submitted: Mar 20, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Current challenges and ethical hurdles of integrating ChatGPT in radiology
ABSTRACT
The introduction of ChatGPT, a large language model (LLM) developed by OpenAI, and its integration into the field of radiology represents a significant advancement in medicine. This paper explores the current challenges and ethical hurdles of integrating ChatGPT in medical imaging. These include potential inaccuracies in medicine related content, managing patient privacy and data security, addressing potential biases, dealing with ethical and legal issues, and bridging gaps in Artificial Intelligence (AI) literacy among healthcare professionals. This review aims to provide an overview of the integration of AI with medical imaging, while highlighting the importance of equitable access and ethical use of AI tools in healthcare.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.