Journal of Cranio-Maxillofacial Surgery · 2024 · 32 citations · 19 references
NursingOral SurgerySurgeryClinical Decision SupportClinical InformaticsMedical EthicsConsentIntraoperative DocumentationSurgical Consent DocumentationConsent Documentation QualityConsent For Surgical ProcedureConsent ReadabilityInformed ConsentInformed Consent ComprehensionInformed Consent WorkflowsOral ConsentSurgical Consent Forms
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.
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Utility of ChatGPT in Clinical Practice
Jialin Liu, Changyu Wang, Siru Liu · Journal of Medical Internet Research · 2023 · 512 citations · Full text
Ashley M. Hopkins, Jessica M. Logan, Ganessan Kichenadasse et al. · JNCI Cancer Spectrum · 2023 · 262 citations · Full text