Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study.

ABSTRACT:

Introduction

Surgical reports are usually written after a procedure and must often be reproduced from memory. Thus, this is an error-prone, and time-consuming task which increases the workload of physicians. In this proof-of-concept study, we developed and evaluated a software tool using Artificial Intelligence (AI) for semi-automatic intraoperative generation of surgical reports for functional endoscopic sinus surgery (FESS).

Materials and methods

A vocabulary of keywords for developing a neural language model was created. With an encoder-decoder-architecture, artificially coherent sentence structures, as they would be expected in general operation reports, were generated. A first set of 48 conventional operation reports were used for model training. After training, the rep

SUBMITTER: Kunz V 

PROVIDER: S-EPMC10113317 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature