Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT

Artificial intelligence (AI) has demonstrated benefit and is increasingly used in the field of radiology although many limitations have been identified [1], [2], [3], [4], [5], [6]. Generative pre-trained transformer (GPT) is a language generation model developed by OpenAI [7]. GPT is trained on a massive dataset of text and is able to generate natural-sounding language [8], [9], [10], [11]. It can be fine-tuned for various language tasks such as language translation, text summarization, text completion, and more. GPT-3 is the latest version of the model, which is even more powerful than the previous versions.

ChatGPT is a variant of GPT that is specifically fine-tuned for conversational language understanding and generation. It is trained on a large dataset of conversational text and is able to understand the context and intent of a conversation. It can be used to generate human-like responses in a conversational setting, such as chatbots, virtual assistants, and other conversational interfaces [12], [13], [14].

The purpose of this article was first to report some answers provided by ChatGPT to various questions that radiologists may have regarding ChatGPT and second, identify the potential benefits ChatGPT may offer in their daily practice along with current limitations.

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