Build clinical AI stewardship before investing in radiology AI, expert advises

Hospitals should start by defining the problem AI will solve, then create clinical AI stewardship to monitor for drift from new scanners or slice thickness and oversee human-AI interaction, rather than buying disconnected tools.

• Define the specific clinical problem—access, capacity, workforce, reporting variability, patient safety—before evaluating AI solutions.
• AI can drift when inputs change (e.g., new scanners, software updates, CT slice thickness), requiring continuous monitoring and clinical oversight.
• A platform-based approach can reduce interoperability challenges and simplify validation, monitoring, and governance compared with dozens of independent AI applications.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.