Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Life Image Announces a Partnership With RapidAI to Accelerate the Adoption of Life-Saving Stroke Technology to Hospitals

Partnership Brings Together RapidAI’s Market-Leading Cerebrovascular Imaging Analysis with Life Image Extensive Global Network of Trauma Hospitals and Referral Sites

Life Image, the world’s largest global medical evidence and image exchange network specializing in curated diagnostic images for care delivery and research, announced today a partnership with RapidAI, the worldwide leader in advanced imaging for stroke. The partnership extends the availability of Rapid®’s life-saving neuroimaging platform through Life Image’s cloud network—facilitating direct connections between organizations that benefit from stroke imaging collaboration.

RapidAI empowers clinicians to make faster, more accurate diagnostic and treatment decisions for stroke patients using clinically proven, data-driven technology. With the validated Rapid platform developed by stroke experts, clinicians worldwide are enabled with fast, automated, and easy-to-interpret imaging, resulting in more accurate clinical decision-making around stroke.

Recommended AI News: Catalyst Blockchain Platform From IntellectEU Makes Blockchain Technology Easier To Use Than Ever

Life Image’s network of 10,000 facilities connected with 150,000 U.S. providers and 58,000 global clinics includes Primary Stroke Centers (PSCs) and Comprehensive Stroke Centers (CSCs) that are connected with community hospitals and other referral sites. Its interoperable digital platform provides image management to nearly 12 million clinical encounters per month worldwide.

“Our partnership with Life Image further extends our commitment to delivering RapidAI solutions to fit hospital needs. Life Image offers hospitals inter and intra facility direct connectivity options, empowering organizations to easily expand their Rapid deployment to an extended network of sites and physicians,” said Anil Singhal, MD, EVP, Worldwide Operations at RapidAI.

Recommended AI News: Embrace Serverless IoT/ AI Workloads: Hasura GraphQL Goes Server-Less With New Cloud Launch

“Offering RapidAI’s cutting-edge technology to an even broader network of departments and sites through the extensive Life Image network means more physicians will have access to the proven Rapid stroke imaging platform, allowing them to make better transfer decisions, and speed time to treatment,” said Matthew A. Michela, President and CEO of Life Image. “Our Network Access™ solution was designed specifically for this scenario – bringing together innovators, clinicians and patients at the point of care.”

In addition to providing Network Access to existing sites, Life Image can also help build new networks of unconnected sites – quickly and easily – with its vendor-agnostic tools that have been developed using industry standards.

Recommended AI News: How Precise Location Based Advertising Is The Future Of Mobile Marketing

4 Comments
  1. […] 参考链接:Life Image Announces a Partnership With RapidAI to Accelerate the Adoption of Life-Saving Stroke Tec… […]

  2. […] Recommended AI News: Life Image Announces A Partnership With RapidAI To Accelerate The Adoption Of Life-Saving Stroke Tec… […]

  3. […] Recommended AI News: Life Image Announces A Partnership With RapidAI To Accelerate The Adoption Of Life-Saving Stroke Tec… […]

  4. […] Recommended AI News: Life Image Announces A Partnership With RapidAI To Accelerate The Adoption Of Life-Saving Stroke Tec… […]

Leave A Reply

Your email address will not be published.