WuJunde / Awesome-Surgical-AI

A curated list of surgical AI resources (continually updated)

Awesome Surgical-AI

This is a collection of research papers for Surgical AI. And the repository will be continuously updated to track the frontier of the topic.

Welcome to contribute and star!

Papers

format:
- [title](paper link) [links]
  - author1, author2, and author3...
  - Institute
  - publish
  - keyword
  - code
  - experiment environments and datasets

2023

• A vision transformer for decoding surgeon activity from surgical videos

  • Author: Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Animashree Anandkumar & Andrew J. Hung
  • Institute: California Institute of Technology & University of Southern California
  • Publish: Nature Biomedical Engineering
  • Keyword: Transformer, Surgeon activity, Surgeon video

• The impact of inconsistent human annotations on AI driven clinical decision making

  • Author: Aneeta Sylolypavan, Derek Sleeman, Honghan Wu & Malcolm Sim
  • Institute: University College London
  • Publish: npj Digital Medicine
  • Keyword: human annotations, clinical decision making

• Human visual explanations mitigate bias in AI-based assessment of surgeon skills

  • Author: Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar & Andrew J. Hung
  • Institute: California Institute of Technology & University of Southern California
  • Publish: npj Digital Medicine
  • Keyword: Human visual explanations, assessment of surgeon skills

• Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis

  • Author: Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand & Mathias Unberath
  • Institute: California Institute of Technology & University of Southern California
  • Publish: Nature Machine Intelligence
  • Keyword: Synthetic data, X-ray image analysis

  2021

• PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment

  • Institute: Oxford Universiy
  • Publish: Nature Scientific data
  • Keyword: 3761 images dataset, polyp detection and segmentation

• Image Compositing for Segmentation of Surgical Tools without Manual Annotations

  • Institute: University College London
  • Publish: IEEE TMI
  • Keyword: 514 manually labeled images from 20 surgical procedures, 100K labeled synthetic images, surgical tool segmentation