Five Questions to Ask.
Introducing AI into medical imaging takes more than choosing an algorithm. The systems that supply its data and deliver its results deserve just as much attention.
In its latest article, Laurel Bridge Software identifies five considerations for imaging leaders moving from AI trials to wider implementation:
- Where is adoption heading? Advances in automation, connectivity and cloud infrastructure are making AI more accessible beyond major research centres.
- What could slow implementation? Extra manual tasks, disconnected applications and difficult integrations can create barriers for clinical teams.
- Can your systems work together? Images need to reach AI applications automatically, with results returned to the systems clinicians already use.
- Will performance translate to your environment? Differences in equipment, scanning protocols, patient populations and data quality can affect how an AI model performs between sites.
- What should come first? Laurel Bridge recommends establishing reliable image routing, data preparation and workflow automation as the foundation for expansion.
The practical takeaway: assess how AI will fit into everyday imaging operations before committing to a broader rollout.
Through Imaging Solutions, healthcare organisations can access Laurel Bridge tools that support this foundation. Compass™ manages image routing across imaging systems, while Navigator™ automates the retrieval of prior studies and reports. Compass Exchange™ supports cross-enterprise data sharing, including workflows connecting imaging environments with external AI applications.
https://www.imgsol.com/solution/data-management/worflow-solutions/
Planning your next step with imaging AI? Speak with the Imaging Solutions team about the connectivity and workflow requirements behind your project.