Dr. Nina Kottler discusses strategies for leveraging AI to improve radiology workflow efficiency at SIIM 2026.
Key Details
- 1Dr. Nina Kottler participated in an 'Ask the Informaticist' session at SIIM 2026.
- 2She explained best practices for using AI to tackle workflow burdens in radiology.
- 3Efficiency improvements from AI should not come at the expense of quality.
- 4Kottler emphasized the importance of getting both faster and better with AI adoption.
- 5The event highlighted ongoing challenges and emerging reasons for optimism in radiology AI.
Why It Matters
Workflow inefficiency is a persistent challenge for radiology practices. Sharing experiences and best practices from leaders in the field helps departments adopt AI in ways that improve both speed and quality of care.

Source
AuntMinnie
Related News

•AuntMinnie
ONC Official at SIIM Calls for Smarter AI and Better Image Sharing
ONC's Dr. Jason Funderburk urges improvements in medical image sharing and AI readiness at SIIM 2024.

•AuntMinnie
SIIM Leaders Discuss Maturing AI Adoption and Governance in Imaging
SIIM 2026 leaders highlight AI's maturation in imaging, new governance, and the evolving challenges in clinical integration.

•AuntMinnie
AI Systems Predict Breast Cancer Risk Years Before Diagnosis
AI-enabled mammography systems can flag individuals at increased risk for breast cancer up to six years ahead of diagnosis, outperforming traditional risk measures.