In healthcare, where time is scarce and healthcare professionals have constrained schedules, the use of artificial intelligence (AI) could make healthcare professionals’ lives easier. The integration of AI, in particular advanced language models like Chat Generative Pre-trained Transformer (ChatGPT), into medical decision-making processes could help streamline workflows and take some of the burden off healthcare professionals. We examine here a recent study that looks at the use of ChatGPT in augmenting the decision-making processes of Heart Teams in the treatment of severe aortic stenosis. The study suggests a high degree of alignment between ChatGPT and multidisciplinary Heart Teams in the management of severe aortic stenosis, showing how language models could impact healthcare in the future1.
Chat-based AI tools such as ChatGPT are based on large language models (LLMs), a class of models able to process text and output a response tailored towards the request of the user. To train such a model, huge resources in terms of computational power and data are needed, which few companies can afford. As the investment in training such a model is very high, the...
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