This study evaluates the quality and readability of informed consent documents generated by AI platforms ChatGPT-4 and Bard Gemini Advanced compared to those written by a first-year oral surgery resident for common oral surgery procedures. The evaluation, conducted by 18 experienced oral and maxillofacial surgeons, assessed consents for accuracy, completeness, readability, and overall quality. ChatGPT-4 consistently outperformed both Bard and human-written consents. ChatGPT-4 consents had a median accuracy score of 4 [IQR 4-4], compared to Bard's 3 [IQR 3–4] and human's 4 [IQR 3–4]. Completeness scores were higher for ChatGPT-4 (4 [IQR 4–5]) than Bard (3 [IQR 3–4]) and human (4 [IQR 3–4]). Readability was also superior for ChatGPT-4, with a median score of 4 [IQR 4–5] compared to Bard and human consents, both at 4 [IQR 4-4] and 4 [IQR 3–4], respectively. The Gunning Fog Index for ChatGPT-4 was 17.2 [IQR 16.5–18.2], better than Bard's 23.1 [IQR 20.5–24.7] and the human consents' 20 [IQR 19.2–20.9]. Overall, ChatGPT-4's consents received the highest quality ratings, underscoring AI's potential in enhancing patient communication and the informed consent process. The study suggests AI can reduce misinformation risks and improve patient understanding, but continuous evaluation, oversight, and patient feedback integration are crucial to ensure the effectiveness and appropriateness of AI-generated content in clinical practice.

Vaira, L.A., Lechien, J.R., Maniaci, A., Tanda, G., Abbate, V., Allevi, F., et al. (2024). Evaluating AI-Generated informed consent documents in oral surgery: A comparative study of ChatGPT-4, Bard gemini advanced, and human-written consents. JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY [10.1016/j.jcms.2024.10.002].

Evaluating AI-Generated informed consent documents in oral surgery: A comparative study of ChatGPT-4, Bard gemini advanced, and human-written consents

Frosolini A.;Gabriele G.;
2024-01-01

Abstract

This study evaluates the quality and readability of informed consent documents generated by AI platforms ChatGPT-4 and Bard Gemini Advanced compared to those written by a first-year oral surgery resident for common oral surgery procedures. The evaluation, conducted by 18 experienced oral and maxillofacial surgeons, assessed consents for accuracy, completeness, readability, and overall quality. ChatGPT-4 consistently outperformed both Bard and human-written consents. ChatGPT-4 consents had a median accuracy score of 4 [IQR 4-4], compared to Bard's 3 [IQR 3–4] and human's 4 [IQR 3–4]. Completeness scores were higher for ChatGPT-4 (4 [IQR 4–5]) than Bard (3 [IQR 3–4]) and human (4 [IQR 3–4]). Readability was also superior for ChatGPT-4, with a median score of 4 [IQR 4–5] compared to Bard and human consents, both at 4 [IQR 4-4] and 4 [IQR 3–4], respectively. The Gunning Fog Index for ChatGPT-4 was 17.2 [IQR 16.5–18.2], better than Bard's 23.1 [IQR 20.5–24.7] and the human consents' 20 [IQR 19.2–20.9]. Overall, ChatGPT-4's consents received the highest quality ratings, underscoring AI's potential in enhancing patient communication and the informed consent process. The study suggests AI can reduce misinformation risks and improve patient understanding, but continuous evaluation, oversight, and patient feedback integration are crucial to ensure the effectiveness and appropriateness of AI-generated content in clinical practice.
2024
Vaira, L.A., Lechien, J.R., Maniaci, A., Tanda, G., Abbate, V., Allevi, F., et al. (2024). Evaluating AI-Generated informed consent documents in oral surgery: A comparative study of ChatGPT-4, Bard gemini advanced, and human-written consents. JOURNAL OF CRANIO-MAXILLOFACIAL SURGERY [10.1016/j.jcms.2024.10.002].
File in questo prodotto:
File Dimensione Formato  
Evaluating AI-Generated informed consent-Vaira-2024.pdf

accesso aperto

Descrizione: Articolo
Tipologia: PDF editoriale
Licenza: Creative commons
Dimensione 1.57 MB
Formato Adobe PDF
1.57 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1279855