News | Artificial Intelligence | February 04, 2020

Infervision in the Frontlines Against the Coronavirus

Infervision launches the Coronavirus AI solution to help clinicians win the battle

Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

February 4, 2020 — Since January 2020, the Coronavirus (2019-nCoV) outbreak at Wuhan, China, has attracted a great deal of attention from all parties in China. Everyone from Wuhan city, along with the rest of the country and world, have joined the battle to fight the Coronavirus. Working alongside, Infervision’s scientists and engineering teams have successfully launched the Coronavirus artificial intelligence (AI) solution; specially tailored for front-line use to help clinicians detect and monitor the disease efficiently and effectively.

As of Feb. 3, 2019, there were 17,205 cases of confirmed diagnosis of Coronavirus in China and 21,558 suspected cases waiting for final diagnosis. Wuhan is the epicenter, which has put an enormous amount of pressure on the local healthcare system. Find daily updates of the numbers of infected, deaths and locations from the World Health Organization website.

Infervision’s Coronavirus AI solution has been in use at the center of the epidemic outbreak at Tongji Hospital in Wuhan (Tongji Medical College of Huazhong University of Science & Technology), along with sites in other cities such as the Third People’s Hospital of Shenzhen in Shenzhen City. Infervision’s Coronavirus AI solution is accelerating pneumonia diagnosis and epidemic monitoring efforts.

The outbreak has put significant pressure on imaging departments, which are now reading over a thousand cases a day. Patients and clinicians typically have to wait a few hours to get the CT results, but Infervision AI is improving the CT diagnosis speed for each case; and each minute saved is critical to decrease the chance of cross-contamination at the hospital. The surging number of patients needing diagnosis and the strict laboratory requirements for the use of the rRT-PCR detection kit, to confirm the 2019-nCoV diagnosis, pose big challenges to regional and rural hospitals. Infervision’s tools are helping sites with limited medical resources to immediately screen out suspected Coronavirus-infected patients for further diagnosis and treatment.

While physicians are working day and night, Infervision AI is helping manage the process efficiently; assisting with pneumonia marking, abnormal and severe case analysis, patient triage, medical resources coordination, prior case comparisons and treatment assessments. The World Health Organization (WHO) has given very positive comments regarding China’s quick reaction and information transparency regarding this outbreak and voiced great confidence in China’s efforts in dealing with this public health event. The battle against this epidemic is one being fought by all clinicians and countries, and Infervision is fully committed to support these efforts, wherever needed, and aspires to “Use the most advanced technology to serve the most fundamental needs.”

For more information: www.infervision.com

 

Related Coronavirus Meical Imaging Content:

CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia

Infervision in the Frontlines Against the Coronavirus

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

Infervision Introduces AI Capabilities for Chest CT Reading
 

Find more related clinical content Coronavirus (COVID-19)

 

 

Related Content

Multidisciplinary functionality supports high-capacity utilization and economic efficiency
News | Mobile C-Arms | January 14, 2021
January 14, 2021 — Siemens Healthineers has announced the Food and Drug Administration (FDA) clearance of the...
Use of telehealth jumped sharply during the first months of the coronavirus pandemic shutdown, with the approach being used more often for behavioral health services than for medical care, according to a new RAND Corporation study.

Getty Images

News | Teleradiology | January 13, 2021
January 13, 2021 — Use of telehealth jumped sha
This cutting-edge technology assists radiologists in the interpretation of screening mammograms and allows them to diagnose breast cancer earlier and more accurately
News | Mammography | January 12, 2021
January 12, 2021 — Therapixel announced that...
The U.S. Food and Drug Administration released the agency's first Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. This action plan describes a multi-pronged approach to advance the Agency's oversight of AI/ML-based medical software.
News | Artificial Intelligence | January 12, 2021
January 12, 2021 — The U.S.
Myocarditis among recovering COVID-19 athletes less common than previously reported

Getty Images

News | Cardiac Imaging | January 11, 2021
January 11, 2021 — In a letter published in the December issue of the American Heart Association's...
Jeff Elias, MD, is a neurosurgeon at UVA Health and a pioneer in the field of focused ultrasound.

Jeff Elias, MD, is a neurosurgeon at UVA Health and a pioneer in the field of focused ultrasound. Image courtesy of UVA Health

News | Focused Ultrasound Therapy | January 08, 2021
January 8, 2021 — A scalpel-free alternative to brain surgery has the potential to benefit people with...
The FDA is monitoring the potential impact of viral mutations, including an emerging variant from the United Kingdom known as the B.1.1.7 variant, on authorized SARS-CoV-2 molecular tests

Getty Images

News | Coronavirus (COVID-19) | January 08, 2021
January 8, 2021 — The U.S.
World-first techniques for predicting breast cancer risk from mammograms that were developed in Melbourne could revolutionise breast screening by allowing it to be tailored to women at minimal extra cost

Getty Images

News | Mammography | January 06, 2021
January 6, 2021 — World-first techniques for predicting breast cancer risk from...
Transaction accelerates Hologic’s entry into oncology growth market, provides new lab capabilities

Getty Images

News | Breast Imaging | January 06, 2021
January 6, 2021 — Hologic, Inc., a global leader in women's...