2025
Vision-language foundation model for generalizable nasal disease diagnosis using unlabeled endoscopic records
Liu X, Gong W, Chen X, Li Z, Liu Y, Wang L, Liu Q, Sun X, Liu X, Chen X, Shi Y, Yu H. Vision-language foundation model for generalizable nasal disease diagnosis using unlabeled endoscopic records. Pattern Recognition 2025, 165: 111646. DOI: 10.1016/j.patcog.2025.111646.BooksLabeled dataGeneralization performanceExpert annotationsArtificial intelligencePre-training datasetSuperior generalization performanceState-of-the-artMedical artificial intelligencePerformance of AI modelsNasal endoscopic imagesLearning frameworkAI modelsMultiple imagesSemantic representationDiagnostic tasksFine-tuningTask-specificUniversal representationDatasetExperimental resultsDisease classificationEndoscopic imagesDiagnosis of diseasesAnnotationFoundation model
2024
Bias in medical AI: Implications for clinical decision-making
Cross J, Choma M, Onofrey J. Bias in medical AI: Implications for clinical decision-making. PLOS Digital Health 2024, 3: e0000651. PMID: 39509461, PMCID: PMC11542778, DOI: 10.1371/journal.pdig.0000651.Peer-Reviewed Original ResearchMedical AIArtificial intelligenceClinical decision-makingSupervised learning modelsMedical artificial intelligenceDiverse data setsSocial determinants of healthDeployment solutionDeterminants of healthAI algorithmsData featuresDebiasing methodsPerformance metricsLearning modelsAI lifecycleAI developmentModel interpretationData setsSuboptimal performanceModel's clinical utilityHealthcare disparitiesSocial determinantsCare practicesDecision-makingImplicit cognitive biases
2023
Foundation models for generalist medical artificial intelligence
Moor M, Banerjee O, Abad Z, Krumholz H, Leskovec J, Topol E, Rajpurkar P. Foundation models for generalist medical artificial intelligence. Nature 2023, 616: 259-265. PMID: 37045921, DOI: 10.1038/s41586-023-05881-4.Peer-Reviewed Original ResearchConceptsMedical AILarge medical datasetsMedical artificial intelligenceArtificial intelligence modelsImage annotationMedical datasetsArtificial intelligenceElectronic health recordsAI devicesIntelligence modelsTraining datasetDiverse datasetsExpressive outputHealth recordsRapid developmentDatasetFree-text explanationsMedical modalitiesNew paradigmMedical textsAITechnical capabilitiesDiverse setNewfound capabilitiesCapability
2022
The Need for Medical Artificial Intelligence That Incorporates Prior Images.
Acosta JN, Falcone GJ, Rajpurkar P. The Need for Medical Artificial Intelligence That Incorporates Prior Images. Radiology 2022, 304: 283-288. PMID: 35438563, DOI: 10.1148/radiol.212830.Peer-Reviewed Original ResearchConceptsArtificial intelligenceImage interpretation tasksCurrent AI algorithmsMedical artificial intelligenceBenchmark data setsFuture artificial intelligencePrioritization of tasksData setsAI algorithmsDynamic scenariosPrior imageInterpretation taskRelevant tasksSingle pointTaskIntelligenceSetArchitectureMachineAlgorithmCurationDevicesImagesScenariosInformation
1988
Artificial intelligence research in anesthesia and intensive care
Rennels G, Miller P. Artificial intelligence research in anesthesia and intensive care. Journal Of Clinical Monitoring 1988, 4: 274-289. PMID: 3057121, DOI: 10.1007/bf01617327.Peer-Reviewed Original ResearchConceptsArtificial intelligence techniquesIntelligence techniquesArtificial intelligenceArtificial intelligence researchComputer science researchMedical artificial intelligenceChallenging domainComputer systemsIntelligence researchIntelligenceDifferent projectsResearch directionsCentral research themeSpecific research projectsCurrent stateScience researchResearch projectResearch themesTechniqueProjectManagementApplications
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