Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Report generation using digital speech recognition in radiology.

F Vorbeck1, A Ba-Ssalamah, J Kettenbach

  • 1Department of Diagnostic Radiology, University Hospital of Vienna, Austria.

European Radiology
|April 18, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Primary sclerosing cholangitis: Time to rethink imaging criteria for early disease detection.

Journal of hepatology·2026
Same author

Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art.

Physics in medicine and biology·2022
Same author

Characterization of phenotypic spectrum of fetal heterotaxy syndrome by combining ultrasound and magnetic resonance imaging.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2021
Same author

Specific cholecystitis: An unusual presentation of extrapulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2018
Same author

Correlation of trastuzumab-based treatment with clinical characteristics and prognosis in HER2-positive gastric and gastroesophageal junction cancer: A retrospective single center analysis.

Cancer biology & therapy·2017
Same author

Efficacy of pelvic artery embolisation for severe postpartum hemorrhage.

Archives of gynecology and obstetrics·2017
Same journal

The bMRI-QUAL scoring system: an important first step toward standardizing breast MRI quality.

European radiology·2026
Same journal

Spectral CT-based habitat analysis for predicting pathologic response to neoadjuvant therapy in gastric cancer.

European radiology·2026
Same journal

MR-guided microwave ablation of liver tumors: outcomes in local tumor control and determinants of treatment success.

European radiology·2026
Same journal

AI integration in pediatric radiology: perspectives from international academic leaders.

European radiology·2026
Same journal

Association of hypertension and blood pressure control with aneurysm wall enhancement in unruptured intracranial aneurysms: a multicenter propensity score-matched study.

European radiology·2026
Same journal

Conservative management of < 3cm anterior mediastinal lesions in lung cancer screening is safe.

European radiology·2026
See all related articles

Continuous speech recognition (CSR) technology can save time in generating radiology reports, with an average 19% faster report generation. While CSR is never slower than manual typing, time savings vary based on speaker, typist, and topic.

Area of Science:

  • Radiology
  • Medical Informatics
  • Speech Technology

Background:

  • Radiology report generation is time-consuming.
  • Efficient report creation is crucial for clinical workflow.
  • Digital tools are being explored to optimize medical documentation.

Purpose of the Study:

  • To evaluate the time-saving potential of continuous speech recognition (CSR) in radiology report generation.
  • To compare the efficiency and error rates of CSR versus conventional typing for radiological reports.

Main Methods:

  • Two radiologists dictated 450 reports across five radiological topics using a German CSR system.
  • Reports were generated using both CSR and conventional typing methods.
  • Time efficiency and error rates were compared between the two methods.

Related Experiment Videos

Main Results:

  • CSR systems generated reports 19% faster on average compared to conventional typing.
  • The mean error rate for CSR was 5.5%, versus 0.4% for conventional typing.
  • Maximum time savings of 28% were observed for sonography reports; CSR was never slower than manual typing.

Conclusions:

  • Continuous speech recognition (CSR) is a useful tool for saving time in clinical radiology report generation.
  • The degree of time savings and error rates are influenced by factors such as speaker, typist, and the CSR system's vocabulary.
  • CSR systems offer a viable alternative to conventional typing, improving efficiency in radiological documentation.