2021
Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing
Chen Q, Leaman R, Allot A, Luo L, Wei C, Yan S, Lu Z. Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing. Annual Review Of Biomedical Data Science 2021, 4: 1-27. PMID: 34465169, DOI: 10.1146/annurev-biodatasci-021821-061045.Peer-Reviewed Original ResearchConceptsNatural language processingArtificial intelligenceLanguage processingInformation needsLiterature-based discoveryInformation retrievalEntity recognitionMisinformation detectionInformation overloadNLP studiesNLP tasksEmotion analysisTopic modelingCOVID-19 pandemicIntelligenceAdditional tasksHuman languagePublic health measuresTaskHealth measuresProcessingSerious health effectsHealth effectsRetrievalDatasetMultimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration
Chen Q, Keenan T, Allot A, Peng Y, Agrón E, Domalpally A, Klaver C, Luttikhuizen D, Colyer M, Cukras C, Wiley H, Magone M, Cousineau-Krieger C, Wong W, Zhu Y, Chew E, Lu Z, Group F. Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. Journal Of The American Medical Informatics Association 2021, 28: 1135-1148. PMID: 33792724, PMCID: PMC8200273, DOI: 10.1093/jamia/ocaa302.Peer-Reviewed Original ResearchConceptsColor fundus photographyAge-related macular degenerationFundus autofluorescenceReticular pseudodrusenMacular degenerationStandard color fundus photographyReceiver-operating characteristic curveAdvanced imaging modalitiesExternal validationRetinal specialistsAMD featuresFundus photographyGeographic atrophyPigmentary abnormalitiesAMD diagnosisImaging modalitiesCharacteristic curvePseudodrusenDegeneration
2020
Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2
Keenan T, Chen Q, Peng Y, Domalpally A, Agrón E, Hwang C, Thavikulwat A, Lee D, Li D, Wong W, Lu Z, Chew E. Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2. Ophthalmology 2020, 127: 1674-1687. PMID: 32447042, PMCID: PMC11079794, DOI: 10.1016/j.ophtha.2020.05.036.Peer-Reviewed Original Research