Healthcare Providers Can Better Detect and Triage COVID-19 Cases with NTT DATA’s AI Image Diagnostic Solution
October 5, 2020
NTT DATA Corporation
PLANO, TX and TOKYO, Japan – October 5th, 2020 –NTT DATA, a recognized leader in global technology services, today announced a solution to help the healthcare industry train artificial intelligence (AI) to detect COVID-19 and accelerate care triage using AI for image diagnostic support. This solution is free to NTT DATA clients and registered researchers who are using chest imaging to help identify asymptomatic patients and track disease progression.
NTT DATA’s Nucleus for Unified Clinical Architecture (UCA), one of the world’s largest hybrid cloud-based imaging archives, allows providers around the world to contribute anonymized COVID-19 studies to promote research and development of image diagnostic technologies with the use of AI. This data collection effort is an important step toward removing bias in AI training and algorithm evaluation to increase accuracy, detect COVID-19 anomalies and understand pathological properties.
This repository of images is predicated on UCA’s Advocate AI offering, a solution designed to accelerate scientific discovery for developers and providers so they can evaluate AI in all types of clinical imaging. Healthcare providers benefit from this solution which brings together registered users for training and evaluation of AI tools through high quality curated public imaging studies and licensed anonymized studies.
“This public effort around data collection and AI is yet another one of our solutions helping in the continued fight against COVID-19 and to further reduce strain on our healthcare system – both top priorities for NTT DATA,” said Mary Edwards, President, Healthcare, NTT DATA Services. “By integrating AI into the imaging workflow, we’re lessening the burden of information sharing and enabling decision support to increase speed of diagnoses, identify patterns and support research needed to develop solutions to stop the virus.”
- Assessing AI for Imaging in Healthcare - October 7, 1:00pm EDT
Anouk Stein M.D., Board Certified in Diagnostic Radiology, MD.ai and Haley Wight data scientist, NTT DATA Healthcare and Life Sciences, will take a look into the validation of algorithms in relation to clinical artificial intelligence. Register here.
- Potential and Precarity: AI’s Role in Lung Imaging - October 22, 1:00pm EDT
Mitchell Goldburgh senior director, Enterprise Imaging & Analytics, NTT DATA Healthcare and Life Sciences and Haley Wight data scientist, NTT DATA Healthcare and Life Sciences, will explore AI tools in pulmonary imaging and how they were adapted to COVID-19. Register here.
To learn more about the company’s comprehensive suite of services to help fight COVID-19, visit NTT DATA’s COVID-19 Pandemic Response Portfolio website.
About NTT DATA
NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. NTT DATA enables clients,as well as society, to move confidently into the digital future. We are committed to our clients’long-term success and combine global reach with local client attention to serve them in over 50 countries. Visit us at nttdata.com.
NTT DATA Services, headquartered in Plano, Texas, is a division of NTT DATA Corporation, a top 10 global business and IT services provider with 120,000+ professionals in more than 50 countries, and NTT, a partner to more than 85 percent of the Fortune 100. Visit nttdataservices.com to learn more.
Product and service inquiries
NTT DATA Corporation
Global Marketing Headquarters
The services, prices of products and services, specifications, telephone numbers, etc. for inquiries and other information included in news releases are the data available on the day of the release. This information may be changed at any time without notice. In certain circumstances, due to various risks or unexpected occurrences, actual results may also be different from the plans or projections in news releases.