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Fig. 8 | BMC Medical Informatics and Decision Making

Fig. 8

From: Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers

Fig. 8

Examples of LSTM and BERT predictions for two truly actionable reports with visualization of attention scores. (a) is an explicit actionable report detected without order information, and (b) is an implicit actionable report detected using order information. (a) Points out hydronephrosis due to ureteral calculus in the postoperative CT examination of rectal cancer, and (b) points out a lung nodule pointed out in the CT examination more than four years after the operation of esophageal carcinoma. “ < unk > ” stands for out-of-vocabulary subwords that were not recognized by the LSTM and BERT classifiers. Subwords with relatively high attention scores are colored red. For luminous visualization, Japanese periods are not colored

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