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




Radiology Oncology Surgical Robot Devices Sector Could Reach USD 7.3 Billion by 2022

By MedImaging International staff writers
Posted on 24 Jan 2016
A new report has been published indicating that worldwide market for radiology oncology surgical robots market is growing mainly due to an aging world population, and the benefits the new technology can offer.

Radiology oncology surgical robot technology provides opportunities to change cancer treatment methods, including the increased use of stereotactic body radiosurgery, instead of surgery or other conventional treatments. Radiosurgery has the potential to revolutionize cancer treatment by removing tumors without damage to surrounding healthy tissue.

The report entitled "Radiology Oncology Surgical Robots: Market Shares, Strategies, and Forecasts, Worldwide, 2016–2022" was published by Wintergreen Research (Lexington, MA, USA) and was made available by Research and Markets (Dublin, Ireland). Radiosurgery equipment providers mentioned in the report include Accuray (Sunnyvale, CA; USA), Brainlab (Munich, Germany), and ViewRay (Cleveland OH, USA).

The annual number new cancer cases diagnosed is forecast to increase to 20 million by 2025, from 14.9 million in 2015. Radiosurgery makes use of high radiation doses precisely eliminate tumors, and leaves healthy tissue unharmed. The demand and sales of this radiosurgery has increased profit margins for companies offering this technology during the last five years. Hospitals are also adopting the technology to improve outcomes.

Related Links:

Wintergreen Research
Research and Markets
Accuray


Diagnostic Ultrasound System
DC-80A
Digital Intelligent Ferromagnetic Detector
Digital Ferromagnetic Detector
Multi-Use Ultrasound Table
Clinton
Medical Radiographic X-Ray Machine
TR30N HF

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.