Open AccessAutomatic detection of procedural knowledge in robotic-assisted surgical texts
Author(s) -
Marco Bombieri,
Marco Rospocher,
Diego Dall’Alba,
Paolo Fiorini
Publication year - 2021
Publication title -
international journal of computer assisted radiology and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.701
H-Index - 49
eISSN - 1861-6429
pISSN - 1861-6410
DOI - 10.1007/s11548-021-02370-9
Subject(s) - computer science , workflow , artificial intelligence , benchmarking , task (project management) , machine learning , artificial neural network , binary classification , deep learning , natural language processing , database , support vector machine , management , marketing , economics , business
The automatic extraction of knowledge about intervention execution from surgical manuals would be of the utmost importance to develop expert surgical systems and assistants. In this work we assess the feasibility of automatically identifying the sentences of a surgical intervention text containing procedural information, a subtask of the broader goal of extracting intervention workflows from surgical manuals.