A methodology for the annotation of surgical videos for supervised machine learning applications

Fischer, Elizabeth; Jawed, Kochai Jan; Cleary, Kevin; Balu, Alan; Donoho, Andrew; Thompson Gestrich, Waverly; Donoho, Daniel A.

doi:10.1007/s11548-023-02923-0

Int J CARS

2023

DOI: 10.1007/s11548-023-02923-0

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A methodology for the annotation of surgical videos for supervised machine learning applications

Elizabeth Fischer,

Kochai Jan Jawed,

Kevin Cleary

et al.

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A microdiscectomy surgical video annotation framework for supervised machine learning applications

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A microdiscectomy surgical video annotation framework for supervised machine learning applications

Jawed,

Buchanan,

Cleary

et al. 2024

Int J CARS

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Controversies in Artificial Intelligence in Neurosurgery

Yilmaz,

Browd,

Donoho

2025

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How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives

Zhang,

Fang,

et al. 2024

Diagnostics

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The rapid advancement of artificial intelligence (AI) and robotics has led to significant progress in various medical fields including interventional radiology (IR). This review focuses on the research progress and applications of AI and robotics in IR, including deep learning (DL), machine learning (ML), and convolutional neural networks (CNNs) across specialties such as oncology, neurology, and cardiology, aiming to explore potential directions in future interventional treatments. To ensure the breadth and depth of this review, we implemented a systematic literature search strategy, selecting research published within the last five years. We conducted searches in databases such as PubMed and Google Scholar to find relevant literature. Special emphasis was placed on selecting large-scale studies to ensure the comprehensiveness and reliability of the results. This review summarizes the latest research directions and developments, ultimately analyzing their corresponding potential and limitations. It furnishes essential information and insights for researchers, clinicians, and policymakers, potentially propelling advancements and innovations within the domains of AI and IR. Finally, our findings indicate that although AI and robotics technologies are not yet widely applied in clinical settings, they are evolving across multiple aspects and are expected to significantly improve the processes and efficacy of interventional treatments.

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A methodology for the annotation of surgical videos for supervised machine learning applications

Cited by 3 publications

References 8 publications

A microdiscectomy surgical video annotation framework for supervised machine learning applications

A microdiscectomy surgical video annotation framework for supervised machine learning applications

Controversies in Artificial Intelligence in Neurosurgery

How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives

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