2024
Artificial intelligence–aided steatosis assessment in donor livers according to the Banff consensus recommendations
Jiao J, Tang H, Sun N, Zhang X. Artificial intelligence–aided steatosis assessment in donor livers according to the Banff consensus recommendations. American Journal Of Clinical Pathology 2024, 162: 401-407. PMID: 38716796, DOI: 10.1093/ajcp/aqae053.Peer-Reviewed Original ResearchBanff Working GroupLiver Allograft PathologyBiopsy specimensDonor liversAllograft pathologyAssociated with primary graft dysfunctionMacrovesicular steatosisPrimary graft dysfunctionManual quantificationSteatosis assessmentLiver biopsy specimensSevere macrovesicular steatosisAssessment of liver steatosisGraft dysfunctionPathological evaluationModerate steatosisEvaluate steatosisConsensus recommendationsLiver steatosisSteatosisBanffLiverPathologyAI modelsArtificial intelligence
2023
Detection of Large-Droplet Macrovesicular Steatosis in Donor Livers Based on Segment-Anything Model
Tang H, Jiao J, Lin J, Zhang X, Sun N. Detection of Large-Droplet Macrovesicular Steatosis in Donor Livers Based on Segment-Anything Model. Laboratory Investigation 2023, 104: 100288. PMID: 37977550, DOI: 10.1016/j.labinv.2023.100288.Peer-Reviewed Original ResearchLiver diseaseMacrovesicular steatosisArtificial intelligence algorithmsArtificial intelligence modelsEnd-stage liver diseaseRule-based algorithmLiver histology analysisLiver transplant complicationsAcute liver failurePrimary hepatic malignancyLarge fat vacuolesIntelligence algorithmsDetection modelTransformer architectureIntelligence modelsTransplant complicationsLiver transplantationLiver failureLiver biopsyHepatic malignanciesFat vacuolesDonor organsEffective treatmentPrior knowledgeAlgorithm