# Nuclide record ai-in-nuclear-medicine (technology). Data CC BY-NC 4.0, attribute "Data from Nuclide (nuclide.cc)". Whole corpus: https://nuclide.cc/api/v1/nuclide.nt
@prefix schema: <https://schema.org/> .
@prefix nuclide: <https://nuclide.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://nuclide.cc/technologies/ai-in-nuclear-medicine/>
  a schema:MedicalTherapy ;
  nuclide:kind "technology" ;
  schema:identifier "ai-in-nuclear-medicine" ;
  schema:name "AI in nuclear medicine"@en ;
  schema:alternateName "deep learning PET/SPECT"@en, "aPROMISE"@en ;
  schema:description "Computer software trained on thousands of scans can now automatically outline tumours on PET and SPECT images in seconds instead of the 30-45 minutes it takes a doctor, though a specialist still checks the result."@en ;
  schema:url <https://nuclide.cc/technologies/ai-in-nuclear-medicine/> ;
  schema:dateModified "2026-09-22"^^xsd:date ;
  schema:citation <https://pubmed.ncbi.nlm.nih.gov/41101977/>, <https://www.frontiersin.org/journals/nuclear-medicine/articles/10.3389/fnume.2026.1935247/full>, <https://pubmed.ncbi.nlm.nih.gov/40444499/>, <https://pubmed.ncbi.nlm.nih.gov/41166032/> ;
  nuclide:tag "AI", "imaging", "PSMA" ;
  nuclide:related <https://nuclide.cc/technologies/radiomics/>, <https://nuclide.cc/technologies/quantitative-imaging-biomarkers/>, <https://nuclide.cc/technologies/psma-pet/>, <https://nuclide.cc/technologies/monte-carlo-dosimetry/>, <https://nuclide.cc/isotopes/f-18/>, <https://nuclide.cc/isotopes/ga-68/>, <https://nuclide.cc/isotopes/y-90/> ;
  nuclide:dependsOn <https://nuclide.cc/technologies/quantitative-imaging-biomarkers/>, <https://nuclide.cc/technologies/psma-pet/> .