We found that voice dictation of prototypical mammographic cases resulted in automatic retrieval of reference images. An evaluation of the clinical utility of this method was performed as a guide for further system development. The search results were organized into image sets intended to address common questions that arise during image interpretation. These observations were used to formulate database search strategies which not only retrieved similar cases from the image database, but also other cases that were related to the index case in different ways. An interface was developed to a computerized speech recognition radiology reporting system which was modified to translate reported findings into database search terms. An image database of 347 digital mammography images was assembled and image features were coded. We undertook this project to integrate context sensitive computer-based educational and decision making aids into the film interpretation and reporting process, and to determine the clinical utility of this method as a guide for further system development.
0 Comments
Leave a Reply. |