From:  A systematic review on cardiovascular risk stratification in the artificial intelligence paradigm using radiogenomics

 Comprehensive assessment of studies included in the review.

Study populationClinical domainData sourceAI model typeOutcomeNo. of studiesReferences
Cancer patientsOncologyImaging + genomicsRadiogenomics AIPrecision oncology7[2830, 4244, 52]
Cancer patientsOncologyMulti-omicsDLSurvival prediction2[48, 67]
Oncology populationsOncologyConceptualConceptual frameworksPrecision oncology 2[53, 68]
Mixed populationsMethodologicalImagingDLModel benchmarking2[14, 15]
Mixed populationsMethodologicalImagingRadiomics systemsFeature extraction/validation2[21, 51]
Mixed populationsMethodologicalImaging + genomicsRadiogenomics AIMethod development 2[47, 69]
Not population specificEthics/GovernanceConceptualXAIEthics, transparency6[37, 38, 7073]
Not population specificDigital healthWearables/EHRDLDecision support/digital twin5[3436, 39, 40]
Drug discovery datasetsCross-domainMolecular/computationalDLDrug discovery2[32, 33]

DL: deep learning; EHR: electronic health records; XAI: explainable artificial intelligence.