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

Automatic speech recognition in vitreo-retinal surgery. A project for a prototypal computer-based voice-controlled

L Rossi1, D Sacerdoti, B Billi

  • 1Department of Electronic Engineering, University of Roma La Sapienza, Italy.

European Journal of Ophthalmology
|October 1, 1996
PubMed
Summary

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

What can real-world data teach us about treating patients with unresectable hepatocellular carcinoma?

Expert review of gastroenterology & hepatology·2025
Same author

Platelet Count Does Not Predict Bleeding in Cirrhotic Patients: Results from the PRO-LIVER Study.

The American journal of gastroenterology·2017
Same author

Penetrating Ocular Trauma with Retained Intraocular Foreign Body: Management, Follow-up and Medico-legal Evaluation.

The West Indian medical journal·2017
Same author

Patient satisfaction and vision improvement after multiple surgery for recurrent retinal detachment.

European journal of ophthalmology·2017
Same author

Characterization of a murine model of cardiorenal syndrome type 1 by high-resolution Doppler sonography.

Journal of ultrasound·2015
Same author

Thrombosis of the portal venous system.

Journal of ultrasound·2013

This study developed a voice-controlled system for simulated eye surgery. The automatic speech recognition prototype achieved over 97% accuracy, showing potential for improving surgical tools.

Area of Science:

  • Ophthalmology
  • Medical Technology
  • Human-Computer Interaction

Background:

  • Advancements in automatic speech recognition (ASR) technology enable sophisticated medical applications.
  • Current surgical tools may benefit from enhanced control and efficiency.
  • Vitreo-retinal surgery requires precise instrument manipulation.

Purpose of the Study:

  • To develop and evaluate a computer-based, voice-controlled prototype system for simulated vitreo-retinal surgery.
  • To assess the potential of ASR to improve surgical workflow, quality, and reduce intervention time.
  • To provide surgeons with a tool for intuitive control of surgical instruments via voice commands.

Main Methods:

  • Implementation of a Markov-based, speaker-dependent, commercial isolated-word recognizer.

Related Experiment Videos

  • Development of a specific recognition vocabulary and application software for surgical commands.
  • Testing the prototype system in a simulated vitreo-retinal surgery scenario.

    • Main Results:

    • The voice-controlled system demonstrated robustness, ease of use, and high accuracy (over 97% average word recognition rate) under test conditions.
    • The system successfully simulated voice control for surgical instruments like infusion pumps, vitreous cutters, and diathermy.
    • Encouraging performance metrics suggest the system's viability for surgical applications.

    Conclusions:

    • Automatic speech recognition technology shows significant promise for developing a new generation of surgical instruments.
    • Despite limitations such as training requirements and speaker dependence, ASR merits further development for surgical applications.
    • Extensive testing under actual operating conditions is necessary to fully realize the potential of ASR in surgery.