Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance

arXiv:2405.02040v1 Announce Type: new
Abstract: Pathology reports are rich in clinical and pathological details but are often presented in free-text format. The unstructured nature of these reports presents a significant challenge limiting the accessibility of their content. In this work, we present a practical approach based on the use of large multimodal models (LMMs) for automatically extracting information from scanned images of pathology reports with the goal of generating a standardised report specifying the value of different fields along with …

arxiv confidence cs.cl multimodal multimodal model pathology reports significance type