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We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health.1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this simple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency–inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit.app. Meanwhile, ChatGPT, a conversational artificial intelligence (AI) system launched by OpenAI, has had a significant impact on the field of NLP.2 Several proposed uses of ChatGPT as a scholarly tool, including systematic review literature searches, have already been suggested.3 Therefore, we sought to test whether ChatGPT can also perform the classification task that we previously conducted using traditional NLP methods.