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A vision transformer for decoding surgical activity

A machine learning system leveraging a vision transformer and supervised contrastive learning accurately decodes elements of intraoperative surgical activity from videos commonly collected during robotic surgeries.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
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A vision transformer for decoding surgeon activity from surgical videos - Nature Biomedical Engineering

A machine learning system leveraging a vision transformer and supervised contrastive learning accurately decodes elements of intraoperative surgical activity from videos commonly collected during robotic surgeries.

The cover illustrates a machine-learning system for the decoding of intraoperative surgical activity from videos commonly collected during robotic surgeries.

See Kiyasseh et al.

Image: Melanie Lee, SayoStudio. Cover design: Alex Wing.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

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