Use of ChatGPT for patient education involving HPV-associated oropharyngeal cancer.

OBJECTIVE: This study aims to investigate the ability of ChatGPT to generate reliably accurate responses to patient-based queries specifically regarding oropharyngeal squamous cell carcinoma (OPSCC) of the head and neck. STUDY DESIGN: Retrospective review of published abstracts. SETTING: Publicly available generative artificial intelligence. METHODS: ChatGPT 3.5 (May 2024) was queried with a set of 30 questions pertaining to HPV-associated oropharyngeal cancer that the average patient may ask. This set of questions was queried a total of four times preceded by a different prompt. The answer prompts for each question set were reviewed and graded on a four-part Likert scale. A Flesch-Kincaid reading level was also calculated for each prompt. RESULTS: For all answer prompts (n = 120), 6.6 % were graded as mostly inaccurate, 7.5 % were graded as minorly inaccurate, 41.7 % were graded as accurate, and 44.2 % were graded as accurate and helpful. The average Flesch-Kincaid reading grade level was lowest for the responses without any prompt (11.77). Understandably, the highest grade levels were found in the physician-friend prompt (12.97). Of the 30 references, 25 (83.3 %) were found to be authentic published studies. Of the 25 authentic references, the answers accurately cited information found within the original source for 14 of the references (56 %). CONCLUSION: ChatGPT was able to produce relatively accurate responses to example patient questions, but there was a high rate of false references. In addition, the reading level of the answer prompts was well above the Centers for Disease Control and Prevention (CDC) recommendations for the average patient.