The emergence of large language models (LLM) with remarkable performance such as ChatGPT and GPT-4, has led to an unprecedented uptake in the population. One of their most promising and studied applications concerns education due to their ability to understand and generate human-like text, creating a multitude of opportunities for enhancing educational practices and outcomes. The objective of this study is twofold: to assess the accuracy of ChatGPT/GPT-4 in answering rheumatology questions from the access exam to specialized medical training in Spain (MIR), and to evaluate the medical reasoning followed by these LLM to answer those questions.
View Article and Find Full Text PDFObjective: To describe the characteristics and short-term prognostic factors of patients with prolonged stay in internal medicine.
Material And Methods: Retrospective case series study including patients admitted to an Internal Medicine service of a university hospital with lengths of stay greater than 30 days during 5 years. Information was obtained from the Minimum Basic Data Set.