
News • Survival predictor
AI mines MRI to predict cardiac arrest
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
In the second year of the pandemic, JVCKenwood also draws a positive conclusion despite all difficulties. 'We were also able to welcome some highlights in 2021, both on the part of new monitors and new customers,' says Marcel Herrmann, Marketing Manager Medical Imaging. 'Nevertheless, the situation remains tense here and there.'
The appearance of ovarian lesions on ultrasound is an effective predictor of cancer risk that can help women avoid unnecessary surgery.
Synthetic correlated diffusion makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
A mathematical analysis of data obtained with a MRI approach can identify brain cell damage in people at early stages of Alzheimer's.
Using a novel probe for functional magnetic resonance imaging, researchers have devised a way to monitor individual populations of neurons and reveal how they interact with each other.
To bridge new equipment installations in radiology, temporary high workloads, or long-term additional capacity, Canon Medical provides mobile solutions according to customers’ needs and wishes.
Canon Medical Systems Corporation has entered into an agreement to acquire Nordisk Røntgen Teknik, with the acquisition being completed following the necessary approval procedures.
A biocompatible ultrasound transducer chip could be a more effective way to harness the technology for biomedical applications.
Scientists have developed a neutron-based method to study brain slices and gain a better understanding of neurological diseases.
Cleveland Clinic has launched a landmark study to better understand why millions of people around the world suffer from brain diseases, with the goal of pinpointing disease biomarkers early, well before clinical symptoms present themselves.
When a patient suffers a stroke, speed in treatment can mean the difference between successful recovery, permanent disability, or death. For Christopher Hess, success in stroke diagnosis is a question of workflow and efficient care delivery.
According to new research, whole-spine MRI commonly demonstrates isolated thoracolumbar injuries in children with suspected abusive head trauma.
Researchers have studied the Spaceflight-Associated Neuro-Ocular Syndrome (SANS). For that they compared brain scans before and after spaceflight.
Doctors work on initiatives to cut down the steps that need to happen between the time a stroke patient is wheeled through the ambulance bay until treatment can begin.
A new study has found that AI can help physicians in interpreting x-rays after an injury and suspected fracture. This has the potential to improve diagnostic performance and efficiency.
Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks.
A team led by the University of Washington has developed a new, non-destructive method that images entire 3D biopsies instead of a slice. The 3D images provided more information than a 2D image — specifically, details about the tree-like structure of the glands throughout the tissue.
Professor Regina Beets-Tan, President of the European Society of Radiology (ESR), looks on possible future developments in cancer imaging. AI is very promising in this regard, 'However, it has proven to be a problem that the data with which the artificial intelligence is fed must be very homogeneous,' the expert observes.
Researchers at the McKelvey School of Engineering at Washington University in St. Louis found a way to significantly reduce the noise and maintain image quality while reducing the laser energy needed to generate images by 80%.
Adolescents and young adults with post-concussive symptoms who suffered three to five concussions showed disruption in the default mode network, an interconnected network of brain regions involved in wakeful rest and internal thoughts.
A commonly available imaging technique can identify stroke patients most likely to benefit from a procedure to restore blood flow, a potential breakthrough in care that could save thousands of lives every year
The breast imaging field plays a critical role in women’s health and wellbeing around the globe. Bringing together experts, leaders and innovators from across the breast imaging landscape, the 2021 European Society of Breast Imaging (EUSOBI) Congress comes at a crucial time and represents a pivotal opportunity for the industry as a whole. Taking place online from 4-28 October, 2021, the virtual…
In continuation of their healthcare webinar series, Canon Medical announces the Online Cardiology Days. From Oct 26 to Nov 4, world-renowned cardiology experts take a deep-dive into professional education and explore state-of-the-art imaging and clinical management insights during a series of interactive lectures, practical teaching sessions and real life clinical case discussions.
Colourful, 3D rendered scientific images are fascinating - but can they deceive viewers? New research from Spain suggests this might be the case. According to the study by the Instituto de Radio Televisión Española and the Universitat Autònoma de Barcelona conducted during the Covid-19 lockdown, black and white images of SARS-CoV-2 make the virus seem more infectious. The results, published on…