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

The future is now. It’s here. Health systems are hiring data scientists and spending on infrastructure. Read more

AI has earned the attention of the C-suite, with some 40% of survey respondents saying their strategy is coming from the top down. The top 5 key stakeholders in decision-making are the CEO, CIO, CFO, COO and CMO. Read more

AI is “very important” or “absolutely essential” to strategy and future plans (72%). Read more

 34% work for health systems “advanced” and “proficient” in AI. Read more

The AI in Healthcare team embarked on this survey to gain a deeper understanding of the current state of artificial and augmented intelligence in use and being planned across healthcare in the next few years. Read more