Version 1
: Received: 17 August 2024 / Approved: 19 August 2024 / Online: 20 August 2024 (09:04:49 CEST)
How to cite:
Kalidindi, S.; Vadana R.V, P. Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short Review. Preprints2024, 2024081400. https://doi.org/10.20944/preprints202408.1400.v1
Kalidindi, S.; Vadana R.V, P. Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short Review. Preprints 2024, 2024081400. https://doi.org/10.20944/preprints202408.1400.v1
Kalidindi, S.; Vadana R.V, P. Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short Review. Preprints2024, 2024081400. https://doi.org/10.20944/preprints202408.1400.v1
APA Style
Kalidindi, S., & Vadana R.V, P. (2024). Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short Review. Preprints. https://doi.org/10.20944/preprints202408.1400.v1
Chicago/Turabian Style
Kalidindi, S. and Prasanna Vadana R.V. 2024 "Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short Review" Preprints. https://doi.org/10.20944/preprints202408.1400.v1
Abstract
The advent of Large Language Models like Generative Pre-trained Transformer 4 (GPT-4) has introduced a revolutionary approach to bridging the communication gap between complex radiology reports and patient comprehension. This review article explores the pivotal role of GPT-4 in generating patient-friendly summaries of radiology reports, aiming to demystify medical jargon and enhance patient engagement and understanding. Through an examination of the technological underpinnings of GPT-4, this article highlights its capability to accurately interpret and simplify radiological findings into layman's terms. It assesses the impact of such advancements on patient satisfaction, adherence to treatment plans, and overall healthcare outcomes. Furthermore, the review delves into the potential challenges and ethical considerations associated with implementing AI-driven summaries in clinical practice, including accuracy, privacy, and the need for human oversight. By offering insights into the current applications, benefits, and limitations of GPT-4 in radiology, this short review underscores the transformative potential of AI in fostering a more inclusive and patient-centric healthcare communication paradigm.
Keywords
Large Language Models; GPT-4; Radiology Reports; Patient Comprehension; AI-driven summaries; Patient Engagement
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
