How healthcare is using machine learning: 7 things to know
Machine learning is infiltrating healthcare and demonstrating improvements in medical imaging, according to a Reaction Data survey.
The research firm sought feedback from a range of imaging professionals, including administrators, technicians and directors, at mostly acute care facilities.
Here are seven survey insights.
- About 16 percent of respondents ranked machine learning as not that important while 25 percent of respondents said machine learning was extremely important.
- Imaging directors and chiefs of radiology are more likely to view machine learning as important.
- Most respondents said they weren’t that familiar with machine learning — only 9 percent claimed to be extremely familiar.
- Roughly 25 percent of respondents said their organization was about three years away from adopting machine learning while 16 percent of medical imaging professionals said they have no plans to adopt machine learning.
- Of those not planning to adopt machine learning, 46 percent said they were unsure of its usefulness right now.
- According to respondents, the top machine learning vendors are Hologic (25 percent), GE Healthcare (17 percent) and Google (13 percent).
- Providers are currently using, or plan to use, machine learning in breast care (68 percent), lung care (61 percent) and chest x-rays (58 percent).
Written by Julie Spitzer, Becker’s Hospital Review