2023
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
Berbís M, McClintock D, Bychkov A, Van der Laak J, Pantanowitz L, Lennerz J, Cheng J, Delahunt B, Egevad L, Eloy C, Farris A, Fraggetta F, del Moral R, Hartman D, Herrmann M, Hollemans E, Iczkowski K, Karsan A, Kriegsmann M, Salama M, Sinard J, Tuthill J, Williams B, Casado-Sánchez C, Sánchez-Turrión V, Luna A, Aneiros-Fernández J, Shen J. Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade. EBioMedicine 2023, 88: 104427. PMID: 36603288, PMCID: PMC9823157, DOI: 10.1016/j.ebiom.2022.104427.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceDelphi TechniqueForecastingHumansSurveys and Questionnaires
2021
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
Perincheri S, Levi AW, Celli R, Gershkovich P, Rimm D, Morrow JS, Rothrock B, Raciti P, Klimstra D, Sinard J. An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy. Modern Pathology 2021, 34: 1588-1595. PMID: 33782551, PMCID: PMC8295034, DOI: 10.1038/s41379-021-00794-x.Peer-Reviewed Original ResearchConceptsMemorial Sloan-Kettering Cancer CenterCore biopsyPredictive valueDiagnostic accuracyProstate core needle biopsiesCore needle biopsySurgical pathology practiceNegative predictive valueProstate core biopsiesPositive predictive valueProstate cancer detectionStrong diagnostic accuracyPoor quality scansCancer detectionCancer CenterProstate biopsyLeading causeNeedle biopsyTransrectal approachProstate cancerProstatic adenocarcinomaProstate carcinomaBiopsyPathology practiceProstate