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Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min o...

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c964f61c59dd458fa1fe9545d78e34ea

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

About this item

Full title

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-05, Vol.12 (1), p.8137-10, Article 8137

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will successfully control the hemorrhage (achieve hemostasis). We evaluate the ability of a deep learning neural networ...

Alternative Titles

Full title

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c964f61c59dd458fa1fe9545d78e34ea

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c964f61c59dd458fa1fe9545d78e34ea

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-11549-2

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