2025
Emerging Trends in Artificial Intelligence in Neuro-Oncology
Chadha S, Sritharan D, Hager T, D’Souza R, Aneja S. Emerging Trends in Artificial Intelligence in Neuro-Oncology. Current Oncology Reports 2025, 1-12. PMID: 40504358, DOI: 10.1007/s11912-025-01688-w.Peer-Reviewed Original ResearchArtificial intelligenceNeuro-oncologyLeverage natural language processingExtract actionable insightsNatural language processingTreatment response evaluationOptimal treatment planHardware efficiencyLanguage processingComputational pathologyModel generalizabilityActionable insightsAutomated tumor segmentationTumor segmentationRisk stratificationDiagnostic accuracyMolecular classificationTreatment planningClinical reportsComputational techniquesResponse evaluationReviewThis articlePatient outcomesClinical workflowAccelerating drug discoveryA foundation model for generalizable cancer diagnosis and survival prediction from histopathological images
Yang Z, Wei T, Liang Y, Yuan X, Gao R, Xia Y, Zhou J, Zhang Y, Yu Z. A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images. Nature Communications 2025, 16: 2366. PMID: 40064883, PMCID: PMC11894166, DOI: 10.1038/s41467-025-57587-y.Peer-Reviewed Original ResearchConceptsWhole slide imagesLeveraging self-supervised learningScarcity of annotated dataHistopathological imagesSelf-supervised learningPre-training approachSelf-supervised modelPre-trained modelsApplication of artificial intelligenceSmall-scale dataIntelligent healthcareEnhance model performanceExpert annotationsPre-trainingArtificial intelligenceComputational pathologyImaging modelEfficient solutionSlide imagesCancer classificationModel performanceRepresentationImagesCancer diagnosisIntelligence
2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Campanella G, Hanna M, Geneslaw L, Miraflor A, Werneck Krauss Silva V, Busam K, Brogi E, Reuter V, Klimstra D, Fuchs T. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nature Medicine 2019, 25: 1301-1309. PMID: 31308507, PMCID: PMC7418463, DOI: 10.1038/s41591-019-0508-1.Peer-Reviewed Original ResearchConceptsDecision support systemWhole slide imagesTrain accurate classification modelsManually annotated datasetDevelopment of decision support systemsSlide imagesPixel-wise manual annotationSupervised deep learningSupport systemAccurate classification modelDeep learning systemComputer decision support systemDeep learningManual annotationData curationClassification modelLearning systemComputational pathologyDatasetDeploymentMetastasis to axillary lymph nodesAxillary lymph nodesBasal cell carcinomaClinical practiceImages
2015
Computational Pathology
Louis DN, Feldman M, Carter AB, Dighe AS, Pfeifer JD, Bry L, Almeida JS, Saltz J, Braun J, Tomaszewski JE, Gilbertson JR, Sinard JH, Gerber GK, Galli SJ, Golden JA, Becich MJ. Computational Pathology. Archives Of Pathology & Laboratory Medicine 2015, 140: 41-50. PMID: 26098131, PMCID: PMC4996078, DOI: 10.5858/arpa.2015-0093-sa.Peer-Reviewed Original ResearchConceptsHealth care systemComputational pathologyCare systemPopulation health careValue propositionData-driven methodModern health care systemPathology departmentPathology colleaguesPathologyHealth carePathology informaticsMedical practicePractice of pathologyRobust computational approachPathologistsDepartment
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