Expect widespread adoption of machine learning in medical imaging, report says: 6 key insights

Written by Shayna Korol | February 07, 2018 | Print  |

By 2020, most hospitals and imaging centers will be using machine learning or artificial intelligence technology, according to a report by Reaction Data.

Here are six things to know:

1. Among medical imaging professionals, 16 percent do not plan to adopt machine learning in the near future.

2. All of the adopters of machine learning have been hospitals, despite imaging centers generally being less risk-averse than their hospital counterparts.

3. There were 133 survey respondents, 90 percent of which were from hospitals and 10 percent from imaging centers. Of the respondents, 45 percent were radiology department directors, 20 percent were radiologists, 9 percent were imaging directors, 7 percent were radiology managers, 7 percent were radiology chiefs, 6 percent were technologists and 6 percent were PACS administrators.

4. Among respondents currently using machine learning, 75 percent say they use it for breast imaging; 13 percent use it for bone imaging.

5. Of the respondents who do not plan to adopt machine learning, 46 percent are unsure of its usefulness right now, 39 percent said their institution isn't looking that far ahead and 15 percent responded that humans are better than AI.

6. The report identifies how vendors are going to sell their AI in the face of cost pressures as a potential barrier to widespread adoption.

Despite that, "in our opinion, AI is here to stay," the report concludes. "The rapid level of adoption and AI's ability to aid clinicians in their critical jobs are both encouraging."

Access the full report here. 

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