2025
The Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come
Chu L, Kurup V. The Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come. Current Anesthesiology Reports 2025, 15: 15. DOI: 10.1007/s40140-024-00660-x.Peer-Reviewed Original ResearchMachine learningArtificial intelligenceIntegration of AIPotential of artificial intelligenceData-driven decision-makingAnesthesia educationEra of digital transformationPersonalized learning experienceAI capabilitiesPrecision learningHuman expertiseAI integrationCollaborative environmentAdaptive learning moduleAI simulationReal-time feedbackContinuing professional developmentLearning moduleDigital transformationProfessional developmentLearning experienceLearningEducationEnhance proficiencyIntelligence
2024
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Chen L, Qiao C, Ren K, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 2024, 298: 120771. PMID: 39111376, PMCID: PMC11533345, DOI: 10.1016/j.neuroimage.2024.120771.Peer-Reviewed Original ResearchConceptsSpatio-temporal dependenciesSpatial neighborhoodGraph learning methodsBrain network analysisNode representationsEvolution mechanisms of complex networksAdjacency informationDynamic brain network analysisModel explainabilityLanguage processingGraph evolutionEvolution learningLearning methodsLocal informationMechanism of complex networksDynamic evolutionModel dynamic interactionsDynamic functional connectivityNetwork componentsNested subgraphsLearning moduleExperimental resultsNetworkNetwork transitionsBrain development studies
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