Assessing the impact of deep‐learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes
Bogaerts J, Steenbeek M, Bokhorst J, van Bommel M, Abete L, Addante F, Brinkhuis M, Chrzan A, Cordier F, Devouassoux‐Shisheboran M, Fernández‐Pérez J, Fischer A, Gilks C, Guerriero A, Jaconi M, Kleijn T, Kooreman L, Martin S, Milla J, Narducci N, Ntala C, Parkash V, de Pauw C, Rabban J, Rijstenberg L, Rottscholl R, Staebler A, Van de Vijver K, Zannoni G, van Zanten M, Bart J, Bentz J, Bosse T, Bulten J, Desouki M, Lastra R, Numan T, Schoolmeester J, Schwartz L, Shih I, Soong T, Turashvili G, Vang R, Volchek M, Aliredjo R, Kusters‐Vandevelde H, de Hullu J, Simons M, van der Laak J. Assessing the impact of deep‐learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes. The Journal Of Pathology Clinical Research 2024, 10: e70006. PMID: 39439213, PMCID: PMC11496567, DOI: 10.1002/2056-4538.70006.Peer-Reviewed Original ResearchConceptsDeep learning modelsSerous tubal intraepithelial carcinomaArtificial intelligenceAI assistanceDiagnosis of serous tubal intraepithelial carcinomaTubal intraepithelial carcinomaReview timeFallopian tubeIntraepithelial carcinomaAI supportHigh-grade serous ovarian carcinomaSerous ovarian carcinomaStandalone performanceAverage sensitivityGroup of pathologistsAccuracyOvarian carcinomaHistopathological diagnosisPathologist performanceMixed-model analysisDiagnostic certaintyCarcinomaDiagnostic settingAdverse events and perceived abandonment: learning from patients’ accounts of medical mishaps
Schlesinger M, Dhingra I, Fain B, Prentice J, Parkash V. Adverse events and perceived abandonment: learning from patients’ accounts of medical mishaps. BMJ Open Quality 2024, 13: e002848. PMID: 39147403, PMCID: PMC11331972, DOI: 10.1136/bmjoq-2024-002848.Peer-Reviewed Original ResearchConceptsAdverse medical eventsMedical mishapsMedical eventsPerceived abandonmentEnhance patient engagementMixed-methods analysis of responsesPatient safety concernsFeelings of abandonmentOpen-ended responsesCare partnersMedication errorsPatient engagementImpact of adverse eventsMixed-methods analysisPatient accountsVulnerable populationsAdverse eventsUnder-reportingAnalysis of responsesProvidersTherapeutic allianceAttitudinal changeCoding schemaCliniciansRespondents