Talking report approach reduces look-away time

Article

Radiologists may be able to decrease the time they spend looking away from images by funneling all of their reporting system interactions through a microphone rather than a separate report interface, according to researchers at the University of Florida School of Medicine.

Radiologists may be able to decrease the time they spend looking away from images by funneling all of their reporting system interactions through a microphone rather than a separate report interface, according to researchers at the University of Florida School of Medicine.

Speech recognition systems are expected to converge with point-and-click menu-driven interfaces in the near future to form advanced computerized transcription and reporting systems. Increasingly complex system interfaces extend the time physicians spend looking away from images, however, a trend that raises the red flag for some radiologists.

The Florida researchers instead proposed a "talking template" reporting concept, which would channel most interaction between a report generating system and the radiologist through the microphone. This approach would free the radiologist to view and manipulate the image instead of entering information on a keyboard (J Digit Imaging 2005 Jun 2;[Epub ahead of print]).

Recent Videos
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Related Content
© 2025 MJH Life Sciences

All rights reserved.