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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 21, 2023
Open Peer Review Period: Apr 21, 2023 - Jun 16, 2023
Date Accepted: Jun 7, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals

Meskó B

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals

J Med Internet Res 2023;25:e48392

DOI: 10.2196/48392

PMID: 37347508

PMCID: 10337400

The ChatGPT (Generative AI) revolution made artificial intelligence approachable for medical professionals

  • Bertalan Meskó

ABSTRACT

Large language models (LLMs) have seen rapid advancements and practical applications in various industries from marketing and IT to publishing and even healthcare. The attention of, public access to and debate about LLMs have initiated a wave of products and services using generative AI that found it hard to attract physicians before. The widespread release of LLMs and other AI tools using generative AI has increased accessibility for medical professionals to test this breakthrough technology. As AI has finally become a tool for the masses and it has become increasingly hard for a physician to ignore its use whether it is for medical, research or personal purposes, properly preparing medical professionals for its advantages and risks has become a timely challenge of crucial importance. Medical curriculums, guidelines coming from medical associations and the general discussions about AI’s future role in our profession must adjust accordingly.


 Citation

Please cite as:

Meskó B

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals

J Med Internet Res 2023;25:e48392

DOI: 10.2196/48392

PMID: 37347508

PMCID: 10337400

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© 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.