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Related Experiment Video

Updated: Jun 21, 2025

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
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How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives.

Jiaming Zhang1, Jiayi Fang1, Yanneng Xu2

  • 1Department of Radiology, Clinical Medical College, Southwest Medical University, Luzhou 646699, China.

Diagnostics (Basel, Switzerland)
|July 13, 2024
PubMed
Summary

Artificial intelligence (AI) and robotics are advancing interventional radiology (IR) treatments. While not yet widespread, these technologies show great potential to enhance future medical procedures.

Keywords:
artificial intelligenceconvolutional neural networksdeep learninterventional cardiologyinterventional neuroradiologyinterventional oncologymachine learningrobot

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Area of Science:

  • Medical Technology
  • Radiology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) and robotics are rapidly advancing medical fields.
  • Interventional radiology (IR) is increasingly benefiting from these technological developments.

Purpose of the Study:

  • To review the research progress and applications of AI and robotics in IR.
  • To explore future directions for AI and robotics in interventional treatments.
  • To analyze the potential and limitations of these technologies in IR.

Main Methods:

  • Systematic literature search of research published within the last five years.
  • Searches conducted in PubMed and Google Scholar.
  • Emphasis on large-scale studies for comprehensive and reliable results.

Main Results:

  • AI and robotics, including deep learning (DL), machine learning (ML), and convolutional neural networks (CNNs), show progress in oncology, neurology, and cardiology.
  • Technologies are evolving across multiple aspects of IR.
  • AI and robotics are not yet widely applied clinically but are expected to improve treatment processes and efficacy.

Conclusions:

  • AI and robotics hold significant promise for advancing interventional radiology.
  • Further research and development are crucial for clinical integration.
  • These technologies are poised to revolutionize interventional treatments in the future.