Summary of Artificial Intelligence in the Autonomous Navigation Of Endovascular Interventions: a Systematic Review, by Harry Robertshaw et al.
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review
by Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, Hadi Sadati, Kawal Rhode, Sebastien Ourselin, Alejandro Granados, Thomas C Booth
First submitted to arxiv on: 6 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this systematic review, researchers investigate the role of artificial intelligence (AI) in autonomously navigating devices during endovascular interventions. The study aims to evaluate the benefits, challenges, and potential applications of AI-powered navigation systems. By analyzing recent literature, the authors aim to identify opportunities for AI to improve decision-making, reduce operator radiation exposure, and increase access to treatment. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI is being explored to enable autonomous navigation in endovascular interventions. This could lead to faster operation times, better decision-making during surgery, and reduced radiation exposure for operators. The goal of this study is to understand the impact, challenges, and opportunities that AI can bring to this field. |
