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. 2023 Dec 5;9:e49183. doi: 10.2196/49183

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©Christoph Raphael Buhr, Harry Smith, Tilman Huppertz, Katharina Bahr-Hamm, Christoph Matthias, Andrew Blaikie, Tom Kelsey, Sebastian Kuhn, Jonas Eckrich. Originally published in JMIR Medical Education (https://mededu.jmir.org), 05.12.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included.

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Comparison between LLMs (ChatGPT 3 vs ChatGPT4) for all evaluated categories. Data shown as a scatter dot blot with each point resembling an absolute value (bar width resembling a high amount of individual values). Horizontal lines represent mean (95% CI). The nonparametric Mann-Whitney U test was used to compare the 2 groups. Cumulative results of ratings for (A) medical adequacy, (B) conciseness, (C) coherence, and (D) comprehensibility. ns: not significantly different. *P<.05; **P<.01.