Log in to save to my catalogue

Developing artificial intelligence models for medical student suturing and knot-tying video-based as...

Developing artificial intelligence models for medical student suturing and knot-tying video-based as...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9388210

Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching

About this item

Full title

Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching

Publisher

New York: Springer US

Journal title

Surgical endoscopy, 2023-01, Vol.37 (1), p.402-411

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Background
Early introduction and distributed learning have been shown to improve student comfort with basic requisite suturing skills. The need for more frequent and directed feedback, however, remains an enduring concern for both remote and in-person training. A previous in-person curriculum for our second-year medical students transitioning t...

Alternative Titles

Full title

Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9388210

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9388210

Other Identifiers

ISSN

0930-2794,1432-2218

E-ISSN

1432-2218

DOI

10.1007/s00464-022-09509-y

How to access this item