BERT-based AI poised for use in radiology

AI models based on Google’s BERT are poised to play a pivotal role in radiology, according to a review published January 30 in the Journal of the American College of Radiology. In an analysis of 30 studies, researchers found that BERT has been successfully harnessed primarily for classification tasks and extracting information from radiology reports, noted lead author Larisa Gorenstein, MD, of Tel Aviv University in Israel, and colleagues. “As BERT technology advances, we foresee further innovative applications. Its implementation in radiology holds potential for enhancing diagnostic precision, expediting report generation, and optimizing patient care,” the group wrote. BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing (NLP) foundation model introduced in 2018. Google’s Bard chatbot is based on BERT. The model is trained on a massive corpus of unlabeled internet text and can predict missing words in sentences by understanding context, the authors explained. Moreover, BERT's pretrained weights can be fine-tuned, allowing it to transfer its learned language understanding for various specific NLP tasks, notably in radiology, they wrote. In this review, the researchers assessed the scope of these tasks as they’ve been applied using BERT-based models in the field, with the goal of identifying new possibilities for broader clinical applications. The authors conducted a search on PubMed for literature on BERT-based models...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Source Type: news