2024
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatients
2021
Chronic Kidney Disease is Associated with Higher Risk and Worse Outcome after Spontaneous Intracerebral Hemorrhage (2729)
Leasure A, Vanent K, Acosta J, Woo D, Murthy S, Kamel H, Cohen J, Townsend R, Petersen N, Sansing L, Gill T, Sheth K, Falcone G. Chronic Kidney Disease is Associated with Higher Risk and Worse Outcome after Spontaneous Intracerebral Hemorrhage (2729). Neurology 2021, 96 DOI: 10.1212/wnl.96.15_supplement.2729.Peer-Reviewed Original Research