New Version of syngo.via brings "Anatomical Intelligence" to Diagnostic Reading

Siemens HealthcareSiemens Healthcare introduces version VA30 of its routine 3D and advanced reading software syngo.via, featuring new applications and functionalities that further streamline and accelerate the syngo.via experience. The latest innovation is the syngo.via General Engine, a new package of highly automated and standardized applications. "Anatomical Range Presets," for example, identifies individual regions of the body on images captured using computed tomography (CT) and magnetic resonance imaging (MRI), aligns the image projections accordingly, then selects detailed views to facilitate case preparation. For customers, this means greater efficiency and enables higher diagnostic confidence.

Siemens is making syngo.via more anatomically intelligent to support radiologists and medical technology personnel in their routine workflows. The software "understands" human anatomy and prepares the images for diagnostic reading. Syngo.via VA30 features "Automatic Rib Labeling," for example, which automatically identifies and labels the ribs in CT scans. Until now, radiologists had to identify the ribs manually. Given the unique shape of the ribs, this can be time-consuming and lead to errors, especially in complex diagnostic environments such as oncology.

Anatomical intelligence is also a hallmark of the new syngo.via General Engine software package with which customers can upgrade their software. The package includes the "Anatomical Range Presets" feature, which displays a quick, precise, optimal view of selected anatomical regions. To facilitate diagnoses, users often create such views manually, performing the multi-step process of selecting the relevant area, aligning the image projections accordingly, and editing the detailed view. This takes time, requires anatomical expertise, and is error-prone. The new application from Siemens largely automates these steps. This delivers a consistent quality of the resulting anatomical views and snapshots that does not depend on the skill of the specific user. Using a technology akin to facial recognition in digital photography, syngo.via is able to recognize shoulders, spines, hips, etc. in clinical images and optimize how they are displayed in their anatomical environment. The presets are initially available for specific anatomical regions in CT and MRI images.

Following an examination, the radiological diagnostic report plays a key role in the treatment of the patient. The syngo.via Advanced Reporting tool, part of the syngo.via General Engine, helps radiologists create clear, well-structured reports for the referring or follow-up physicians. Standardized templates make it easier to create reports but can still be customized to individual needs, and findings from multiple examinations can be consolidated into a single report. In the past, multiple diagnoses meant having different documents pertaining to a single case. Now, the diagnostic report reflects the patient's entire disease profile. This makes it much easier for doctors to form a comprehensive assessment of the patient's condition, which helps to improve the quality of treatment.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the world's largest suppliers to the healthcare industry and a trendsetter in medical imaging, laboratory diagnostics, medical information technology and hearing aids. Siemens offers its customers products and solutions for the entire range of patient care from a single source - from prevention and early detection to diagnosis, and on to treatment and aftercare. By optimizing clinical workflows for the most common diseases, Siemens also makes healthcare faster, better and more cost-effective. Siemens Healthcare employs some 52,000 employees worldwide and operates around the world. In fiscal year 2013 (to September 30), the Sector posted revenue of 13.6 billion euros and profit of 2.0 billion euros.

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...