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  3. How Ai And Robotics Will Advance Interventional Radiology: Narrative Review And Future Perspectives.
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  3. How Ai And Robotics Will Advance Interventional Radiology: Narrative Review And Future Perspectives.

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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

View abstract on PubMed

Summary
This summary is machine-generated.

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.