Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293817432> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4293817432 endingPage "116" @default.
- W4293817432 startingPage "110" @default.
- W4293817432 abstract "Classification of focal skeleton/bone marrow uptake (BMU) can be challenging. The aim is to investigate whether an artificial intelligence-based method (AI), which highlights suspicious focal BMU, increases interobserver agreement among a group of physicians from different hospitals classifying Hodgkin's lymphoma (HL) patients staged with [18F]FDG PET/CT.Forty-eight patients staged with [18F]FDG PET/CT at Sahlgenska University Hospital between 2017 and 2018 were reviewed twice, 6 months apart, regarding focal BMU. During the second time review, the 10 physicians also had access to AI-based advice regarding focal BMU.Each physician's classifications were pairwise compared with the classifications made by all the other physicians, resulting in 45 unique pairs of comparisons both without and with AI advice. The agreement between the physicians increased significantly when AI advice was available, which was measured as an increase in mean Kappa values from 0.51 (range 0.25-0.80) without AI advice to 0.61 (range 0.19-0.94) with AI advice (p = 0.005). The majority of the physicians agreed with the AI-based method in 40 (83%) of the 48 cases.An AI-based method significantly increases interobserver agreement among physicians working at different hospitals by highlighting suspicious focal BMU in HL patients staged with [18F]FDG PET/CT." @default.
- W4293817432 created "2022-08-31" @default.
- W4293817432 creator A5001753946 @default.
- W4293817432 creator A5004662046 @default.
- W4293817432 creator A5021720157 @default.
- W4293817432 creator A5029119302 @default.
- W4293817432 creator A5040815655 @default.
- W4293817432 creator A5065293944 @default.
- W4293817432 creator A5077528992 @default.
- W4293817432 date "2022-08-19" @default.
- W4293817432 modified "2023-09-26" @default.
- W4293817432 title "Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [18F]FDG PET/CT—a Retrospective Study" @default.
- W4293817432 cites W2082648985 @default.
- W4293817432 cites W2164777277 @default.
- W4293817432 cites W2515380104 @default.
- W4293817432 cites W2885688423 @default.
- W4293817432 cites W2895047554 @default.
- W4293817432 cites W2897613275 @default.
- W4293817432 cites W2911471650 @default.
- W4293817432 cites W2927995861 @default.
- W4293817432 cites W2944955994 @default.
- W4293817432 cites W2975107127 @default.
- W4293817432 cites W2994824962 @default.
- W4293817432 cites W3006315341 @default.
- W4293817432 cites W3047319026 @default.
- W4293817432 cites W3163581292 @default.
- W4293817432 doi "https://doi.org/10.1007/s13139-022-00765-3" @default.
- W4293817432 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36998589" @default.
- W4293817432 hasPublicationYear "2022" @default.
- W4293817432 type Work @default.
- W4293817432 citedByCount "1" @default.
- W4293817432 countsByYear W42938174322022 @default.
- W4293817432 crossrefType "journal-article" @default.
- W4293817432 hasAuthorship W4293817432A5001753946 @default.
- W4293817432 hasAuthorship W4293817432A5004662046 @default.
- W4293817432 hasAuthorship W4293817432A5021720157 @default.
- W4293817432 hasAuthorship W4293817432A5029119302 @default.
- W4293817432 hasAuthorship W4293817432A5040815655 @default.
- W4293817432 hasAuthorship W4293817432A5065293944 @default.
- W4293817432 hasAuthorship W4293817432A5077528992 @default.
- W4293817432 hasBestOaLocation W42938174321 @default.
- W4293817432 hasConcept C126322002 @default.
- W4293817432 hasConcept C126838900 @default.
- W4293817432 hasConcept C127077266 @default.
- W4293817432 hasConcept C2775842073 @default.
- W4293817432 hasConcept C2779338263 @default.
- W4293817432 hasConcept C2780007613 @default.
- W4293817432 hasConcept C2989005 @default.
- W4293817432 hasConcept C71924100 @default.
- W4293817432 hasConceptScore W4293817432C126322002 @default.
- W4293817432 hasConceptScore W4293817432C126838900 @default.
- W4293817432 hasConceptScore W4293817432C127077266 @default.
- W4293817432 hasConceptScore W4293817432C2775842073 @default.
- W4293817432 hasConceptScore W4293817432C2779338263 @default.
- W4293817432 hasConceptScore W4293817432C2780007613 @default.
- W4293817432 hasConceptScore W4293817432C2989005 @default.
- W4293817432 hasConceptScore W4293817432C71924100 @default.
- W4293817432 hasIssue "2" @default.
- W4293817432 hasLocation W42938174321 @default.
- W4293817432 hasLocation W42938174322 @default.
- W4293817432 hasLocation W42938174323 @default.
- W4293817432 hasLocation W42938174324 @default.
- W4293817432 hasOpenAccess W4293817432 @default.
- W4293817432 hasPrimaryLocation W42938174321 @default.
- W4293817432 hasRelatedWork W2070705913 @default.
- W4293817432 hasRelatedWork W2731120814 @default.
- W4293817432 hasRelatedWork W2909852936 @default.
- W4293817432 hasRelatedWork W2951337402 @default.
- W4293817432 hasRelatedWork W2980817460 @default.
- W4293817432 hasRelatedWork W3021952287 @default.
- W4293817432 hasRelatedWork W3029323126 @default.
- W4293817432 hasRelatedWork W3030344223 @default.
- W4293817432 hasRelatedWork W3041782031 @default.
- W4293817432 hasRelatedWork W3204699273 @default.
- W4293817432 hasVolume "57" @default.
- W4293817432 isParatext "false" @default.
- W4293817432 isRetracted "false" @default.
- W4293817432 workType "article" @default.