News

Machine learning can help predict the life expectancy of heart failure patients, according to new research published in the European Journal of Heart Failure.

Sheba Medical Center (SMC) in Israel has announced that it is working with XRHealth to become the first fully VR-based hospital in the world.

AI can identify patients at risk of dying—of any cause—within the next year or of developing an irregular heartbeat, according to two new studies to be presented at the American Heart Association’s Scientific Sessions 2019.

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

RSNA 2019, the world’s largest radiology conference, kicks off at Chicago’s McCormick Place on Sunday, Dec. 1. This year's show promises to include more AI content than ever before.

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

93% of respondents agree AI is absolutely essential, very important or important to their strategy. Read more