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

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

News | Ultrasound Imaging

June 3, 2025 — In a collaborative study between the Departments of Radiology at the Children’s Hospital of Philadelphia ...

Time June 04, 2025
arrow
News | Breast Imaging

June 2, 2025 — Clairity, Inc., a digital health innovator advancing AI-driven healthcare solutions, has received U.S ...

Time June 02, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

Hyperfine, Inc., producer of the world’s first FDA-cleared AI-powered portable MRI system for the brain — the Swoop ...

Time May 29, 2025
arrow
News | Imaging Software Development

May 27, 2025 — DeepLook Medical, a company advancing medical imaging through visual enhancement technology, recently ...

Time May 28, 2025
arrow
News | Imaging Software Development

May 20, 2025 – Intelerad, a provider of medical imaging software solutions, recently announced its prime partnership ...

Time May 21, 2025
arrow
News | Teleradiology

May 21, 2025 — Konica Minolta Healthcare Americas, Inc and NewVue have announced the introduction of Exa Teleradiology ...

Time May 21, 2025
arrow
News | Artificial Intelligence

May 15, 2025 – Royal Philips, a global leader in health technology, has released its 10th annual Future Health Index ...

Time May 19, 2025
arrow
News | Artificial Intelligence

May 14, 2025 – Bialogics Analytics Inc., a leader in radiology informatics, has introduced its new AI solution AI ...

Time May 16, 2025
arrow
News | Breast Imaging

May 13, 2025 — In one of the larger studies of its kind, researchers have identified six breast texture patterns that ...

Time May 16, 2025
arrow
News | Computed Tomography (CT)

May 15, 2025 — GE HealthCare has launched CleaRecon DL, technology powered by a deep-learning algorithm, to improve the ...

Time May 15, 2025
arrow
Subscribe Now