Artificial intelligence technology is making medical imaging faster, cheaper, and higher-quality. From image enhancement software to portable ultrasounds, we take a look at the startups and solutions reshaping the radiology space.
Artificial intelligence has the potential to transform the radiology field.
One of the earliest applications of AI in healthcare was in diagnostic imaging, where big tech companies and startups alike developed computer vision algorithms to detect anomalies from MRIs, CT scans, X-rays, and ultrasounds.
Now, radiology AI is projected to be a $21B market by 2030, according to CB Insights data — and the applications extend far beyond diagnostics.
Radiologists are using AI across their entire workflow to enhance their productivity and accuracy, while reducing their administrative workload.
Using CB Insights’ data, we identified 96 radiology artificial intelligence companies addressing 5 technology priorities for healthcare providers, from diagnostic radiology to radiology workflow automation.
Want the full expert post? Become a CB Insights customer.
If you’re already a customer, log in here.
