Technology | Computer-Aided Detection Software | November 30, 2018

Infervision Introduces AI Capabilities for Chest CT Reading

Infervision’s deep learning medical imaging platform acts as second pair of eyes to identify multiple diseases from one set of chest scans

Infervision Introduces AI Capabilities for Chest CT Reading

November 30, 2018 — Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product concept that detects four different conditions with just one set of chest scans, leading to faster and more comprehensive medical diagnoses. Additionally, Infervision introduced a new product concept for fast diagnosis in emergency conditions. The announcements were made at the 2018 Radiological Society of North America (RSNA) conference, Nov. 25-30 in Chicago.

The new InferRead CT (computed tomography) Chest will allow a doctor to review an image only once to perform multiple disease screenings in the chest including:

  • Lung nodule screening;
  • Chest fractures, bone metastases and bone tumor screenings;
  • Chronic lung disease (such as emphysema) screening; and
  • Cardiac calcification screening.

The lung nodule screening, while a core Infervision product, has been enhanced over the past year so it can now provide a complete view of the nodule, including volume and density. This product can automatically compare similar cases from a case report bank to provide further information and diagnostic information to physicians.

Also introduced by Infervision at RSNA is a new product concept which aims to help manage emergency conditions including stroke and bone fractures. The product allows doctors to use AI for fast diagnosis and treatment decisions. With this concept, the company is using the power of AI to improve emergency room workflow, and it is now being tested and continually improved in several hospitals in China.

Used to reduce the highly-repetitive work radiologists do each day, the goal of Infervision is to help doctors deliver more accurate reports faster. In fact, when Infervision’s technology and a group of radiologists recently went head-to-head in a report-reading experiment with different types and sizes of nodules. Infervision’s AI-CT predicted more accurately than radiologists in every category.

For more information: www.infervision.com

Related Content

Developed by medical AI company Lunit, Software detects breast cancer with 97% accuracy; Study in Lancet Digital Health shows that Lunit INSIGHT MMG-aided radiologists showed an increase in sensitivity

Lunit INSIGHT MMG

News | Artificial Intelligence | June 02, 2020
June 2, 2020 — Lunit announced that its artificia...
AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire)

AIR Recon DL delivers shorter scans and better image quality (Photo: Business Wire).

News | Artificial Intelligence | May 29, 2020
May 29, 2020 — GE Healthcare announced U.S.
Largest case series (n=30) to date yields high frequency (77%) of negative chest CT findings among pediatric patients (10 months-18 years) with COVID-19, while also suggesting common findings in subset of children with positive CT findings

A and B, Unenhanced chest CT scans show minimal GGOs (right lower and left upper lobes) (arrows) and no consolidation. Only two lobes were affected, and CT findings were assigned CT severity score of 2. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 29, 2020
May 29, 2020 — An investigation published open-access in the ...
The paradox is that COVID-19 has manifested the critical need for exactly what the rules require: advancement of interoperability and digital online access to clinical data and imaging, at scale, for care coordination and infection control.

The paradox is that COVID-19 has manifested the critical need for exactly what the rules require: advancement of interoperability and digital online access to clinical data and imaging, at scale, for care coordination and infection control. Getty Images

Feature | Coronavirus (COVID-19) | May 28, 2020 | By Matthew A. Michela
One year after being proposed, federal rules to advance interoperability in healthcare and create easier access for p
The opportunity to converge the silos of data into a cross-functional analysis can provide immense value during the COVID-19 outbreak and in the future

Getty Images

Feature | Coronavirus (COVID-19) | May 28, 2020 | By Jeff Vachon
In the midst of the coronavirus pandemic normal
AI has the potential to help radiologists improve the efficiency and effectiveness of breast cancer imaging

Getty Images

Feature | Breast Imaging | May 28, 2020 | By January Lopez, M.D.
Headlines around the world the past several months declared that...
United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI.
News | Magnetic Resonance Imaging (MRI) | May 27, 2020
May 27, 2020 — United Imaging's...
In April, the U.S. Food and Drug Administration (FDA) cleared Intelerad’s InteleConnect EV solution for diagnostic image review on a range of mobile devices.
Feature | PACS | May 27, 2020 | By Melinda Taschetta-Millane
Fast, easily accessible patient images are crucial in this day and age, as imaging and medical records take on a new
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging. Some vendors also have redesigned their DR systems to make them more user-friendly and ergonomic. 
Feature | Digital Radiography (DR) | May 26, 2020 | By Dave Fornell
There were several new developments in digital rad...
The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

News | Coronavirus (COVID-19) | May 26, 2020
May 26, 2020  — Philips Healthcare recently received 510(k) clearance from the U.S.