FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2981542326> ?p ?o ?g. }

• W2981542326 endingPage "e122" @default.
• W2981542326 startingPage "e122" @default.
• W2981542326 abstract "The use of artificial intelligence (AI) in health care is based on machine-learning algorithms and software to replace human cognition in the analysis of medical data. We aimed to provide a systematic review on the use of AI in peripheral vascular diseases (PVDs). A systematic review was conducted through the PubMed database. Search terms were focused to identify studies reporting artificial intelligence OR algorithm OR natural language processing OR machine learning OR neural networks AND peripheral vascular disease NOT robotics. A total of 25 articles from 1956 to 2019 were included. These represented empirical work from qualitative, quantitative, and mixed-methods approaches, with mainly AI software use in PVD. The studies examined the application of AI software in the identification of risk factors and screening (2 studies), diagnosis (13 studies), management (2 studies), and assessment of the complications and severity of PVD (7 studies). There was also a study comparing three different models in the diagnosis of PVD. Of the 25 articles, the AI software had shown positive results in their respective domains in 24 articles. Risk factors for PVD were identified and were used by the AI software to screen for asymptomatic PVD in the general population, and the positive predictive value for the AI was twice that of the Inter-Society Consensus screening criteria, the current universal screening score. The AI software was able to compile and to interpret the results to generate a diagnosis of PVD with high specificity and sensitivity according to the consistently high diagnostic accuracy findings from 12 of the articles on PVD diagnosis. The AI was also able to generate a management algorithm with multiple treatment routes based on the patient’s profile. Currently, AI is helpful to aid in the journey of PVD patients from screening to management. However, more research and development are required before it can be widely applied to assist physicians in the management of patients with PVD." @default.
• W2981542326 created "2019-11-01" @default.
• W2981542326 creator A5008717733 @default.
• W2981542326 creator A5009424710 @default.
• W2981542326 creator A5040219006 @default.
• W2981542326 creator A5043620545 @default.
• W2981542326 creator A5066716873 @default.
• W2981542326 creator A5079509707 @default.
• W2981542326 creator A5086911332 @default.
• W2981542326 date "2019-11-01" @default.
• W2981542326 modified "2023-09-26" @default.
• W2981542326 title "LEA 18. Systematic Review on the Use of Artificial Intelligence in Peripheral Vascular Diseases" @default.
• W2981542326 doi "https://doi.org/10.1016/j.jvs.2019.08.035" @default.
• W2981542326 hasPublicationYear "2019" @default.
• W2981542326 type Work @default.
• W2981542326 sameAs 2981542326 @default.
• W2981542326 citedByCount "1" @default.
• W2981542326 countsByYear W29815423262023 @default.
• W2981542326 crossrefType "journal-article" @default.
• W2981542326 hasAuthorship W2981542326A5008717733 @default.
• W2981542326 hasAuthorship W2981542326A5009424710 @default.
• W2981542326 hasAuthorship W2981542326A5040219006 @default.
• W2981542326 hasAuthorship W2981542326A5043620545 @default.
• W2981542326 hasAuthorship W2981542326A5066716873 @default.
• W2981542326 hasAuthorship W2981542326A5079509707 @default.
• W2981542326 hasAuthorship W2981542326A5086911332 @default.
• W2981542326 hasBestOaLocation W29815423261 @default.
• W2981542326 hasConcept C119857082 @default.
• W2981542326 hasConcept C154945302 @default.
• W2981542326 hasConcept C199360897 @default.
• W2981542326 hasConcept C2777904410 @default.
• W2981542326 hasConcept C41008148 @default.
• W2981542326 hasConcept C50644808 @default.
• W2981542326 hasConcept C71924100 @default.
• W2981542326 hasConceptScore W2981542326C119857082 @default.
• W2981542326 hasConceptScore W2981542326C154945302 @default.
• W2981542326 hasConceptScore W2981542326C199360897 @default.
• W2981542326 hasConceptScore W2981542326C2777904410 @default.
• W2981542326 hasConceptScore W2981542326C41008148 @default.
• W2981542326 hasConceptScore W2981542326C50644808 @default.
• W2981542326 hasConceptScore W2981542326C71924100 @default.
• W2981542326 hasIssue "5" @default.
• W2981542326 hasLocation W29815423261 @default.
• W2981542326 hasOpenAccess W2981542326 @default.
• W2981542326 hasPrimaryLocation W29815423261 @default.
• W2981542326 hasRelatedWork W2961085424 @default.
• W2981542326 hasRelatedWork W3046775127 @default.
• W2981542326 hasRelatedWork W3170094116 @default.
• W2981542326 hasRelatedWork W4205958290 @default.
• W2981542326 hasRelatedWork W4285260836 @default.
• W2981542326 hasRelatedWork W4286629047 @default.
• W2981542326 hasRelatedWork W4306321456 @default.
• W2981542326 hasRelatedWork W4306674287 @default.
• W2981542326 hasRelatedWork W1629725936 @default.
• W2981542326 hasRelatedWork W4224009465 @default.
• W2981542326 hasVolume "70" @default.
• W2981542326 isParatext "false" @default.
• W2981542326 isRetracted "false" @default.
• W2981542326 magId "2981542326" @default.
• W2981542326 workType "article" @default.