Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling

INTRODUCTION: The utilisation of artificial intelligence (AI) augments intraoperative safety, surgical training, and patient outcomes. We introduce the term Surgeon-Machine Interface (SMI) to describe this innovative intersection between surgeons and machine inference. A custom deep computer vision...

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Detalles Bibliográficos
Autores principales: Park, Jay J., Doiphode, Nehal, Zhang, Xiao, Pan, Lishuo, Blue, Rachel, Shi, Jianbo, Buch, Vivek P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626480/
https://www.ncbi.nlm.nih.gov/pubmed/37936949
http://dx.doi.org/10.3389/fsurg.2023.1259756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626480/
https://www.ncbi.nlm.nih.gov/pubmed/37936949
http://dx.doi.org/10.3389/fsurg.2023.1259756

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