We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Radin Group and Philips in Speech Recognition Alliance

By HospiMedica staff writers
Posted on 08 Apr 2004
A new collaboration will provide a wide-ranging RIS (radiology information system)/ PACS that integrates speech recognition technology. The system will be based on the RIS system of the Radin Group (Furth, Germany) and the speech-recognition system SpeechMagic of Philips Speech Processing, a unit of Royal Philips Electronics (Amsterdam, The Netherlands). RADIN is a medical web-based image processing system.

By incorporating web-based image management with speech recognition-based report creation, medical diagnoses can be made more rapidly, thus allowing patients to be treated faster and, consequently, with significantly reduced costs. Both companies have had collaborations in the past, already having implemented successful projects with joint partners in France, Germany, and Austria.

Marcel Wassink, managing director of PSP-SRS, remarked, "In response to cost pressure in the healthcare sector, modern hospitals are relying more on innovative technologies. The partnership with Radin sees the integration of two technologies unparalleled in boosting productivity, namely web-based image processing and speech recognition-based report creation.”


Related Links:
Radin Group GmbH
Philips Speech Recognition
Mobile X-Ray System
K4W
Digital Color Doppler Ultrasound System
MS22Plus
Medical Radiographic X-Ray Machine
TR30N HF
Digital Radiographic System
OMNERA 300M

Channels

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.