Demiroglu et al. studied how accurate, complete, and user friendly the GPT-4 version of ChatGPT is for Myofascial Pain Syndrome (MPS), which is a chronic condition that is responsible for about 30% of chronic pain cases in primary care. Often, individuals seek health information online, so researchers identified frequently searched keywords from Google Trends data that were aligned with MPS and inputed seventeen values to ChatGPT. The responses were assessed with the Enhanced Quality Information Profile (EQUIP) Scale, Flesch-Kincaid Reading Ease (FKRE) metric, and Likert scale to determine accuracy and user friendliness of the content provided. Overall, ChatGPT scored a mean score of 4 out of 5 for accuracy and a mean score of 2 out of 3 was determined for completeness. However, the readability was variable using the RKRE metric so the content may not be accessible to some populations. Globally, the search data showed that the Philippines, Thailand, and United States of America exhibited the highest frequency for searching MPS information. While artificial intelligence (AI) like ChatGPT can restate facts, AI is unable to use complex reasoning and background context for the medical reasoning it provides in clinical searches. While AI makes content more accessible, ChatGPT does not substitute patient-doctor relationships and these are especially needed for accurate diagnosis and treatment. For future searches, ChatGPT could be enhanced to pull information from more reliable medical databases and also provide the AI data for more accessible terminology to ensure that the data is accurate and readable.