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

West Midlands to Digitally Transform Can…

NHS patients throughout the West Midlands are to benefit from a digital pathology programme, designed to help reduce cancer backlogs, transform services, and improve the speed and accuracy of cancer...

AI Approach may Help Identify Melanoma S…

Most deaths from melanoma - the most lethal form of skin cancer - occur in patients who were initially diagnosed with early-stage melanoma and then later experienced a recurrence that...

Siemens Healthineers and University of M…

Siemens Healthineers and UHealth - University of Miami Health System - announced a Value Partnership(1) agreement. This strategic relationship will further technological advancement and standardization of equipment at the health...

Siemens Healthineers Splits Fast-Growing…

Siemens Healthineers is splitting its Asia Pacific operations into two to allow both China and the rest of the region to achieve their full potential. China, now its own region...

Philips Advances MR Radiotherapy Imaging…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced two new advances in MR-only workflows to advance head and neck cancer radiotherapy imaging and simulation. The...

AI Transforms Smartwatch ECG Signals int…

A study published in Nature Medicine reports the ability of a smartwatch ECG to accurately detect heart failure in nonclinical environments. Researchers at Mayo Clinic applied artificial intelligence (AI) to...

3D Protein Structure Predictions Made by…

In a living being, proteins make up roughly everything: from the molecular machines running every cell's metabolism, to the tip of your hair. Encoded in the DNA, a protein may...

Integrating Digital Twins and Deep Learn…

Digital twins are virtual representations of devices and processes that capture the physical properties of the environment and operational algorithms/techniques in the context of medical devices and technologies. Digital twins...

Siemens Healthineers Presents Two Revolu…

7 Tesla (T) Magnetom Terra.X(1) will offer excellent imaging of even the smallest structures 3T Magnetom Cima.X(2) more than doubles the gradient amplitude(3) AI algorithms which can reduce scanning...

Willingness to Use Video Telehealth Incr…

Americans' use and willingness to use video telehealth has increased since the beginning of the COVID-19 pandemic, rising most sharply among Black Americans and people with less education, according to...

New Group to Advance Digital Twins in He…

EDITH (Ecosystem for Digital Twins in Healthcare) Coordination and Support Action (CSA) - a group made up of numerous internationally renowned research institutions, professional associations, companies, and hospitals of excellence...

DMEA Call for Papers: Supporting Digital…

25 - 27 April 2023, Berlin, Germany. Health meets digitalisation: from 25 to 27 April 2023 at DMEA - Connecting Digital Health, all actors aiming to promote health IT will be...