A recent study conducted by Amulya Yadav, an associate professor at Penn State's College of Information Sciences and Technology, examined the accuracy of large language models (LLMs) like ChatGPT in diagnosing health-related symptoms. The findings revealed that ChatGPT provided accurate diagnoses about 76% of the time, outperforming traditional search engines such as Google and Bing. This research, which will be presented at the 2026 Association for Computing Machinery Fairness, Accountability and Transparency (FAccT) conference in Montreal, involved participants submitting over 200 symptom descriptions, which were then evaluated by nine board-certified physicians. While ChatGPT's conversational responses offer a more user-friendly experience compared to search engines, it lacks the ability to perform physical examinations or understand a patient's complete medical history. Despite these limitations, the study suggests that AI could be a valuable resource for individuals without access to healthcare, providing preliminary guidance on symptoms and potential warning signs. However, the researchers caution that AI should not replace human doctors, especially for complex health issues.