Results 131 to 140 of about 714,027 (197)

RadLex and SNOMED CT integration: a pilot study for standardising radiology classification. [PDF]

Insights Imaging
Marquis M, Bossenko I, Ross P.
europepmc   +1 more source

Design and Implementation of a Collaborative Clinical Practice and Research Documentation System Using SNOMED-CT and HL7-CDA in the Context of a Pediatric Neurodevelopmental Unit. [PDF]

Healthcare (Basel), 2023
Direito B, Santos A, Mouga S, Lima J, Brás P, Oliveira G, Castelo-Branco M.   +6 more
europepmc   +1 more source

An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT. [PDF]

Sci Rep
Shahid A, Kim J, Byon SS, Hong S, Lee I, Lee BD.   +5 more
europepmc   +1 more source

Quantitatively assessing the impact of the quality of SNOMED CT subtype hierarchy on cohort queries. [PDF]

J Am Med Inform Assoc
Hao X, Li X, Huang Y, Shi J, Abeysinghe R, Tao C, Roberts K, Zhang GQ, Cui L.   +8 more
europepmc   +1 more source

Promoting interoperability between SNOMED CT and ICD-11: lessons learned from the pilot project mapping between SNOMED CT and the ICD-11 Foundation. [PDF]

J Am Med Inform Assoc
Fung KW, Xu J, Brear H, Lane A, Lau M, Wong A, D'Havé A.   +6 more
europepmc   +1 more source

[Establishment of a German ICCR dataset : Translation and integration of SNOMED CT using the example of TUR-B]. [PDF]

Pathologie (Heidelb)
Dörenberg J, Schmidt CJ, Berlage T, Knüchel-Clarke R.   +3 more
europepmc   +1 more source

Standardising the structure of routinely collected data for childhood ocular inflammation: a SNOMED-CT mapping project

, 2023
Kellett S, Solebo AL, the Paediatric Ocular Inflammation UNICORN Study Group.   +2 more
europepmc   +1 more source

Metadata-based Assessment of SNOMED CT and LOINC Adoption Across 800 000 Swiss Patients

Touré V, Armida J, Witte H, Unni D, Kalt K, Endrich O, Triep K, Gassner M, Kissling S, Vuaridel-Thurre G, Grgic P, Ramos AR, Stieltjes B, Borja M, Österle S.   +14 more
europepmc   +1 more source

Unsupervised SapBERT-based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT. [PDF]

Digit Health
Abdulnazar A, Roller R, Schulz S, Kreuzthaler M.   +3 more
europepmc   +1 more source