News | Lung Cancer | December 22, 2017

Median Technologies Collaborating With Chinese Hospital for Lung Cancer Screening Programs

Xingtai People’s Hospital will use Median’s MediScan image analysis technology to improve nodule detection in pulmonary CT scans

Median Technologies Collaborating With Chinese Hospital for Lung Cancer Screening Programs. Dave Fornell

December 22, 2017 — Median Technologies recently announced a research collaboration agreement with Xingtai People's Hospital, Xingtai City, China. Within the frame of the agreement, Median's MediScan image analysis technology will be used to conduct lung cancer screening programs organized under the aegis of Xingtai People's Hospital in Xingtai City. These programs are critically important to improving the health of the people of Xingtai City since the incidence of and mortality associated with lung cancer have increased dramatically in China and become a nationwide public health issue, giving rise to an increased burden on patients, healthcare professionals and society.

Healthcare professionals at Xingtai People's Hospital will use MediScan for the identification and monitoring of suspicious nodules found in pulmonary computed tomography (CT) scans of asymptomatic patients. Thanks to the use of MediScan in screening programs by Xingtai People's Hospital, the population of Xingtai will have access to cutting-edge software technology based on artificial intelligence principles, specifically designed to transform the identification and management of cancer lesions found in medical images.

Median's Mediscan technology provides advanced functionalities for the automated detection, quantification and follow-up of various abnormalities, including suspicious pulmonary nodules, visible in CT images. The technology will enable Xingtai People's Hospital health professionals to optimize the detection of pulmonary nodules in screened populations, enabling earliest detection of suspicious lesions in patients. Many medical reports and scientific publications show that early detection of lung cancer greatly increases the chances for successful treatment.

For more information: www.mediantechnologies.com

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
LVivo EF Cardiac Tool Now Available for GE Vscan Extend Handheld Mobile Ultrasound
Technology | Cardiovascular Ultrasound | September 19, 2018
DiA Imaging Analysis Ltd. (DiA), a provider of artificial intelligence (AI)-powered ultrasound analysis tools,...
Exact Imaging Partners to Improve Prostate Cancer Detection With Artificial Intelligence
News | Prostate Cancer | September 19, 2018
Exact Imaging, makers of the ExactVu micro-ultrasound platform, has partnered with U.K.-based Cambridge Consultants to...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
Siemens Healthineers Announces First U.S. Install of Somatom go.Top CT
News | Computed Tomography (CT) | September 17, 2018
September 17, 2018 — The Ohio State University Wexner Medical Center in Columbus recently became the first healthcare
Veye Chest version 2
News | Lung Cancer | September 11, 2018
Aidence, an Amsterdam-based medical AI company, announced that Veye Chest version 2, a class IIa medical device, has
The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

Sponsored Content | Case Study | Radiation Dose Management | September 07, 2018
Radiation dose management is central to child patient safety. Medical imaging plays an increasing role in the accurate...
Carestream Releases Second-Generation Metal Artifact Reduction Software for OnSight 3D Extremity System
Technology | Computed Tomography (CT) | September 06, 2018
Carestream Health has started shipping a new software version for its Carestream OnSight 3D Extremity System that...

Image courtesy of Siemens Healthineers

Feature | CT Angiography (CTA) | September 06, 2018 | Dave Fornell
There have been a few big, recent advancements in cardiac computed tomography angiography (CCTA) imaging technology....

Image courtesy of Philips Healthcare

Feature | Magnetic Resonance Imaging (MRI) | September 06, 2018 | By Melinda Taschetta-Millane
According to the Prescient & Strategic Intelligence report, “Global Magnetic Resonance Imaging (MRI) Market Size,...