Journal of Urgent Care Medicine

Abstracts in Urgent Care – July/August 2025

AI Performs Well in Virtual Urgent Care Visits Take Home Point: This study indicates that an artificial intelligence (AI) algorithm was better at adhering to clinical guidelines and identifying critical red flags during virtual urgent care (UC) consultations, while physicians were better at adapting recommendations to changing information obtained during a patient consultation. Citation: Zeltzer D, Kugler Z, Hayat L, et al. Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual …

Abstracts in Urgent Care – December 2024

ECG Interpretation: Humans Vs Machines Take Home Point: In this study, cardiologists and emergency physicians (EP) had greater accuracy for electrocardiogram (ECG) interpretation than current versions of ChatGPT and Gemini. Citation: Günay S, Öztürk A, Yiğit Y. The accuracy of Gemini, GPT-4, and GPT-4o in ECG analysis: A comparison with cardiologists and emergency medicine specialists. Am J Emerg Med. 2024 Oct:84:68-73. doi: 10.1016/j.ajem.2024.07.043. Relevance: Artificial Intelligence (AI) is rapidly evolving and becoming an integral part …

Abstracts in Urgent Care – October 2024

Public Perceptions of Artificial Intelligence Use in Healthcare Take Home Point: Patient and healthcare workers surveyed were generally accepting of the use of artificial intelligence (AI) in medicine. Respondents did express some concern about the potential impact of AI on the accuracy of medical decision-making, however. Citation: Thornton N, Binesmael A, Horton T, et al. AI in health care: what do the public and NHS staff think? The Health Foundation. Published July 31, 2024. Accessed …

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