2023
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review
Moassefi M, Rouzrokh P, Conte G, Vahdati S, Fu T, Tahmasebi A, Younis M, Farahani K, Gentili A, Kline T, Kitamura F, Huo Y, Kuanar S, Younis K, Erickson B, Faghani S. Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. Journal Of Imaging Informatics In Medicine 2023, 36: 2306-2312. PMID: 37407841, PMCID: PMC10501962, DOI: 10.1007/s10278-023-00870-5.Peer-Reviewed Original ResearchConceptsMedical image analysisDeep learningArtificial intelligenceMedical imagesDeep learning algorithm developmentAI breakthroughsDL modelsRetraction of scientific papersData splittingPerformance metricsDL toolsComplex taskAlgorithm codeDigital imagesAlgorithm developmentImage analysisHuman capabilitiesImaging existDatasetPublished papersScientific papersCodeLearningImagesReproducibility crisis
2004
Intractable Self-Fulfilling Prophecies
Weinstein RS, Gregory A, Strambler MJ. Intractable Self-Fulfilling Prophecies. American Psychologist 2004, 59: 511-520. PMID: 15367086, DOI: 10.1037/0003-066x.59.6.511.Peer-Reviewed Original ResearchConceptsNegative self-fulfilling propheciesEqual educational opportunityEducational inequitiesEducational systemAchievement cultureEducational opportunitiesSelf-Fulfilling ProphecyDifferentiated pathwaysEqual accessSchoolsUnequal outcomesHuman capabilitiesCivil rights struggleNew understandingPerformance gapRights struggleTalentEcological theoryPsychologyNurturanceInequitiesProphecyOpportunitiesSocietyStruggle
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