The increasing complexity and volume of medical imaging data and an ongoing radiologist shortage are driving the rapid deployment of Artificial Intelligence (AI) applications in medical imaging. The primary goal of these efforts is to save radiologists time.
The increasing complexity and volume of medical imaging data and an ongoing radiologist shortage are driving the rapid deployment of Artificial Intelligence (AI) applications in medical imaging. The primary goal of these efforts is to save radiologists time.
Read this case study to learn about:
1.
The hurdles and interfacing challenges around capturing AI algorithm results.
2.
Why DICOM SR is the preferred method for integrating AI algorithm results and AI-powered reporting applications.
3.
The challenges of integrating new AI-powered reporting applications.
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