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In 2012, convolutional neural networks (CNNs) were used to detect changes in images that were imperceptible to humans. In 2018, the transformer architecture was introduced, which allowed for more accurate diagnoses and predictions. This was followed by the introduction of GPT-4 in 2020, which is a natural language processing model that can generate text based on a prompt. GPT-4 has the potential to revolutionize the field of medicine by providing more accurate diagnoses and predictions.