“Integration of Artificial Intelligence in Interventional Radiology”
- Artificial intelligence is enhancing imaging precision, enabling real-time analysis during procedures for improved accuracy and efficiency
- For instance, Shimadzu Medical Systems introduced the Trinias angiography system with AI capabilities to assist in various interventional procedures
- AI-powered tools are streamlining workflow management by prioritizing critical cases and supporting clinical decision-making
- Viz.ai's Radiology Suite connects care teams in real-time, alerting radiologists about suspected illnesses to expedite diagnosis
- Machine learning algorithms are being utilized to detect patterns in imaging data, aiding in early disease detection and personalized treatment planning
- These advancements are contributing to more effective interventions and better patient outcomes
- The integration of AI is facilitating the development of hybrid operating rooms, combining surgical and interventional radiology capabilities for comprehensive patient care
- As AI technology continues to evolve, its application in interventional radiology is expected to expand, offering safer and more efficient alternatives to traditional surgical interventions
