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Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An...

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2297123019

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach

About this item

Full title

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach

Publisher

United States: Public Library of Science

Journal title

PloS one, 2019-09, Vol.14 (9), p.e0222030-e0222030

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Appendectomy is still the therapy of choice, but conservative strategies are increasingly being studied for uncomplicated inflammation. Diagnosis of acute appendicitis remains challenging, especially due to the frequently unspecific clinical picture. I...

Alternative Titles

Full title

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2297123019

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2297123019

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0222030

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