Case Studies

More than 4 billion people throughout the world lack access to medical imaging, according to statistics shared by the nonprofit organization RAD-AID. The teleradiologists at vRad, a MEDNAX company, decided to do something about it. 

While increasing caseloads are part of the picture, much of the stress physicians experience comes from areas that distract them from patient care − factors such as shifting regulatory requirements and hospital politics. 

RSNA 2019 is here and I’m excited to share what’s new from the teams at MEDNAX Radiology Solutions and vRad – especially in the area of AI.

FUJIFILM Medical Systems U.S.A., Inc. will be unveiling Synapse® 7X, a server-side viewer platform that extends across enterprise imaging areas, at RSNA 2019 in Chicago.

Vendor relationships can sometimes be mundane and ordinary, the kind that involve minimum communication and a lack of understanding of the visions and goals of each organization.

AI is not part of their current plans (36%), more than quarter (27%) are assessing and planning to deploy AI in the future and 23% are advanced and proficient with AI. Read more

 Proficient in AI (75%) or advanced (25%) in using and developing AI for several years. Read more

AI in Healthcare worked alongside Pure Storage on this survey, with Pure offering an educational grant to sponsor the data gathering and report creation. Data collection, tabulation and collation was the responsibility of AI in Healthcare, thus maintaining the anonymity and integrity as promised to the survey base. Read more

AI apps for imaging outnumber all other categories of FDA-approved apps to date. It’s no surprise then that respondents tell us that rad apps top the list of tools they’re using too, namely to enhance breast, chest, cardiovascular imaging, neuroradiology and cardiothoracic imaging. Diagnosis, detection, screening and scheduling are the areas they focus on deploying solutions over the next 18 months. Read more

Standard practice seems to be a blend of commercial AI solutions and teams at healthcare facilities and systems developing their own, with half adopting this strategy. Read more

Improving accuracy, efficiency and workflow are the top benefits leaders see with AI. Next are enhancing the precision of therapy/treatment, identifying deterioration of patient condition, reducing physician burnout, expanding access to care and cost containment. Read more

Healthcare leaders are in full gear in investing in infrastructure—with 45 percent buying this fiscal year. AI is all about the data and it is infrastructure that opens up access and brings speed for bedside and immediate decision-making. Read more