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.
As a whole, survey respondents rank developing the next generation of radiology tools No. 3 on the list of highest priorities for AI across healthcare. Automated image diagnosis also ranks fourth among the AI apps that healthcare organizations are already using.
Cardiology is next in line—with a focus on cardiovascular imaging, interventional cardiology and heart failure. The placement of radiology and cardiology at No. 1 and 2 also reflects the FDA approvals of artificial intelligence-based algorithms to date, giving the nod they are proven, reliable, and accurate.
AI in Healthcare 2020 Leadership Survey Report
- About the Survey
- Table of Contents
- Leveraging Intelligence to Enhance Care and Processes
- Survey at a Glance
- 7 Key Findings
- 01 C-level healthcare leaders are leading the charge to AI
- 02 AI has moved into the mainstream
- 03 Health systems are committed to investing in AI
- 04 Fortifying infrastructure is top of mind
- 05 Improving care is AI’s greatest benefit
- 06 Health systems are both buying and developing AI apps
- Drill Down by Facility Type
- The Doctor Says
- The Early Adopters
- Through the Eyes of the CIO
- From the C-Suite
- Meet the Survey Respondents