2024
Impact of a Web-Based Curriculum on Internal Medicine Resident Use of Stigmatizing Language for Substance Use Disorder
Samberg D, Spinella S, Rothenberger S, Tetrault J, Childers J. Impact of a Web-Based Curriculum on Internal Medicine Resident Use of Stigmatizing Language for Substance Use Disorder. Substance Use & Addiction Journal 2024, 46: 313-319. PMID: 39690470, DOI: 10.1177/29767342241298057.Peer-Reviewed Original ResearchConceptsInternal medicine residentsSubstance use disordersPre-curriculumMedicine residentsPost-curriculumClinical terminologyStigma associated with substance use disorderNon-stigmatizing languagePost-curriculum surveysNational medical organizationsUse disorderWeb-based curriculumStigma levelsStigmatizing terminologyImproved documentationPatient careOpioid use disorderConsiderable stigmaVideo encountersInteractive curriculumWell-receivedSimulated patientsStigmatizing languageResidents' useCase write-upsLarge language models surpass human experts in predicting neuroscience results
Luo X, Rechardt A, Sun G, Nejad K, Yáñez F, Yilmaz B, Lee K, Cohen A, Borghesani V, Pashkov A, Marinazzo D, Nicholas J, Salatiello A, Sucholutsky I, Minervini P, Razavi S, Rocca R, Yusifov E, Okalova T, Gu N, Ferianc M, Khona M, Patil K, Lee P, Mata R, Myers N, Bizley J, Musslick S, Bilgin I, Niso G, Ales J, Gaebler M, Ratan Murty N, Loued-Khenissi L, Behler A, Hall C, Dafflon J, Bao S, Love B. Large language models surpass human experts in predicting neuroscience results. Nature Human Behaviour 2024, 9: 305-315. PMID: 39604572, PMCID: PMC11860209, DOI: 10.1038/s41562-024-02046-9.Peer-Reviewed Original ResearchConceptsHuman expertsLanguage modelHuman information processing capacityNeuroscience resultsKnowledge-intensive endeavourInformation processing capacityProcessing capacityNeuroscience literatureExperimental outcomesExpertsHigh confidenceScientific discoveryDecades of researchLanguageNeuroscienceLLMTaskNormative data for verbal fluency and naming tests in Spanish-speaking adults in the United States
Olabarrieta-Landa L, Rivera D, Xia B, Moreno O, Usuga D, Valdés G, Lopez E, Rodriguez M, Carrión C, Lequerica A, Drago C, García P, Rivera P, Perrin P, Arango-Lasprilla J. Normative data for verbal fluency and naming tests in Spanish-speaking adults in the United States. Neurorehabilitation 2024, 55: 195-208. PMID: 39213096, DOI: 10.3233/nre-240087.Peer-Reviewed Original ResearchConceptsBoston Naming TestVerbal fluency testSemantic verbal fluency testSpanish-speaking adultsFluency testNaming TestSpanish proficiencyNormative dataSpanish-speaking populationLinguistic deficitsVerbal fluencyNeuropsychological NormsTest performanceSpanish speakersTest scoresU.S. participantsPhonemeProficiencyEducational interactionCultural variablesSignificant interactionAdultsImprove accuracy of diagnosisNeurodegenerative disordersAcculturationWHO-UCLA auditory verbal learning test: Normative data for Spanish-speaking adults in the United States
Arango-Lasprilla J, Rivera D, Rodriguez M, Christ B, Moreno O, Usuga D, Olabarrieta-Landa L, Perrin P, Carrión C, Valdés G, Krch D, Amaya A, Drago C, García P, Rivera P. WHO-UCLA auditory verbal learning test: Normative data for Spanish-speaking adults in the United States. Neurorehabilitation 2024, 55: 183-193. PMID: 39302389, DOI: 10.3233/nre-240090.Peer-Reviewed Original ResearchConceptsWHO-UCLA AVLTSpanish-speaking HispanicsNormative dataAuditory Verbal Learning TestComprehensive neuropsychological batteryVerbal Learning TestMeasures of learningEvaluate cognitive functionSpanish-speaking individualsSpanish-speaking adultsDuration of U.S. residenceNeuropsychological batteryLearning TestNeuropsychological assessmentDelayed recallAssess cognitionCognitive functionLanguage proficiencyLinguistic factorsSpanish proficiencyTest performanceU.S. METHODSCultural nuancesDiverse culturesHispanicsAttention and processing speed tests: Normative data for Spanish-speaking adults in the United States
Carrión C, Rivera D, Forte A, Olabarrieta-Landa L, Moreno O, Usuga D, Valdés G, López M, Rodriguez M, Lequerica A, Drago C, García P, Rivera P, Perrin P, Arango-Lasprilla J. Attention and processing speed tests: Normative data for Spanish-speaking adults in the United States. Neurorehabilitation 2024, 55: 169-182. PMID: 39331117, DOI: 10.3233/nre-240086.Peer-Reviewed Original ResearchConceptsBrief Test of AttentionSymbol Digit Modalities TestTrail-Making TestNormative dataSpanish speakersComprehensive neuropsychological batteryProcessing speed measuresProcessing speed testsMeasures of attentionTests of attentionProcessing speed performanceSociodemographic factorsSpanish-speaking individualsSpanish-speaking adultsSpanish-speaking populationNeuropsychological batteryTrail-MakingSymbol-DigitInfluence attentionTMT-BTMT-ABrief testCognitive testsProcessing speedLinguistic factorsLanguage sentiment predicts changes in depressive symptoms
Hur J, Heffner J, Feng G, Joormann J, Rutledge R. Language sentiment predicts changes in depressive symptoms. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2321321121. PMID: 39284070, PMCID: PMC11441484, DOI: 10.1073/pnas.2321321121.Peer-Reviewed Original ResearchConceptsLinguistic Inquiry and Word CountDepressive symptomsCurrent moodAssociated with current moodDecision-making taskAssess depressive symptomsThree-week follow-upLanguage sentimentPatient Health QuestionnaireSymptom changePrevalence of depressionPsychiatric symptomsMood dynamicsMomentary happinessPHQ-9Past researchLinguistic responsesDepressionHealth QuestionnaireHuman ratersWord countMoodSocietal health concernSymptomsRatersHow does musical rhythm influence grammatical processing at the neurophysiological level?
Markevich M, Rebreikina A, Logvinenko T, Grigorenko E, Sysoeva O. How does musical rhythm influence grammatical processing at the neurophysiological level? Neuroreport 2024, 35: 915-920. PMID: 39166391, DOI: 10.1097/wnr.0000000000002081.Peer-Reviewed Original ResearchConceptsRhythmic priming effectGrammaticality judgment taskGrammatical processingWorking memory resourcesEvent-related potentialsIncreased cognitive demandsRhythmic sequencesSelf-paced mannerRussian-speaking adolescentsUngrammatical conditionsJudgment taskNeurophysiological levelPriming effectNeurophysiological correlatesGrammatical conditioningCognitive demandsCognitive complexityBehavioral studiesVisual modalityAdult participantsExperimental blocksBaseline conditionsNeurophysiological investigationsMemory resourcesParticipantsThe relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives
Arutiunian V, Santhosh M, Neuhaus E, Borland H, Tompkins C, Bernier R, Bookheimer S, Dapretto M, Gupta A, Jack A, Jeste S, McPartland J, Naples A, Van Horn J, Pelphrey K, Webb S. The relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives. Molecular Autism 2024, 15: 19. PMID: 38711098, PMCID: PMC11075235, DOI: 10.1186/s13229-024-00598-1.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderElevated gamma powerLow language skillsGamma powerResponses to speech stimuliLanguage skillsLanguage functionFirst-degree relativesSpectrum disorderClinical Evaluation of Language FundamentalsCo-occurring language impairmentSpeech stimuliCortical gamma-band oscillationsHigh gamma powerSex-balanced sampleGamma-band oscillationsSample of participantsNonverbal IQLanguage impairmentASD participantsTD controlsNeural profilesAutism phenotypeTD groupLanguage FundamentalsPeople’s Beliefs About Pronouns Reflect Both the Language They Speak and Their Ideologies
Bailey A, Dembroff R, Wodak D, Ikizer E, Cimpian A. People’s Beliefs About Pronouns Reflect Both the Language They Speak and Their Ideologies. Journal Of Experimental Psychology General 2024, 153: 1388-1406. PMID: 38647482, DOI: 10.1037/xge0001565.Peer-Reviewed Original ResearchConceptsGendered pronounsPreregistered experimental studyPerson's social identityEnglish pronounsLanguage changePronoun systemLanguage contextPronounsSocial ideologySample speakersLanguagePublic debateSocial identityIdeologyIdeological beliefsEnglish-speaking samplesFamiliarity preferenceShape attitudesSocial purposesSpeakersBinary genderSocial groupsPolicy-relevant questionsEmpirical contributionsDebatesAssessing the Efficacy of Large Language Models in Health Literacy: A Comprehensive Cross-Sectional Study
Amin K, Mayes L, Khosla P, Doshi R. Assessing the Efficacy of Large Language Models in Health Literacy: A Comprehensive Cross-Sectional Study. The Yale Journal Of Biology And Medicine 2024, 97: 17-27. PMID: 38559461, PMCID: PMC10964816, DOI: 10.59249/ztoz1966.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentChildComprehensionCross-Sectional StudiesHealth LiteracyHumansLanguageReadingConceptsImprove health literacyReading grade levelHealth literacyEnhance health literacyCross-sectional studyComprehensive cross-sectional studyPrimary outcome measureGrade levelFlesch-Kincaid Grade LevelHealth outcomesHealth conditionsOutcome measuresPediatric conditionsHealthFlesch-KincaidGunning FogColeman-Liau IndexLanguage modelSeventh-gradersAutomated Readability IndexWord countLiteracyQuantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis.
Doshi R, Amin K, Khosla P, Bajaj S, Chheang S, Forman H. Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis. Radiology 2024, 310: e231593. PMID: 38530171, DOI: 10.1148/radiol.231593.Peer-Reviewed Original ResearchConceptsLanguage modelReport impressionsRadiology reportsRetrospective comparative analysisWilcoxon signed-rank testReading grade levelMedical Information Mart for Intensive Care (MIMIC)-IV databaseElectronic health recordsNonparametric Wilcoxon signed-rank testSigned-rank testRetrospective analysisPrimary outcomeComplex medical terminologyImaging modalitiesHealth recordsPatientsRadiologyAnatomical regionsReadabilityIncrease accessModalitiesQuantitative evaluationReadability indicesReadability scoresReportsThe effect of native language and bilingualism on multimodal perception in speech: A study of audio-aerotactile integrationa)
Saito H, Tiede M, Whalen D, Ménard L. The effect of native language and bilingualism on multimodal perception in speech: A study of audio-aerotactile integrationa). The Journal Of The Acoustical Society Of America 2024, 155: 2209-2220. PMID: 38526052, PMCID: PMC10965246, DOI: 10.1121/10.0025381.Peer-Reviewed Original ResearchConceptsFrench listenersNative languageEffect of native languageVoice onset time continuumStudy of speech perceptionPerception of stop consonantsFrench monolingualsBilingual speakersNative language(sBilingual listenersLinguistic experienceSyllable onsetsPhoneme perceptionSpeech perceptionListenersAir puffEnglishLanguageBilingualsMonolingualsIdentification taskSpeechTime continuumMultisensory integrationLanguage(sPrevalence of bias against neurodivergence‐related terms in artificial intelligence language models
Brandsen S, Chandrasekhar T, Franz L, Grapel J, Dawson G, Carlson D. Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models. Autism Research 2024, 17: 234-248. PMID: 38284311, DOI: 10.1002/aur.3094.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceAutism Spectrum DisorderAutistic DisorderHumansLanguagePrevalenceConceptsObsessive-compulsive disorderGroup of wordsControl sentencesTest wordsAutistic individualsAutismSentencesWordsAverage associationNegative conceptNegative associationStrength of associationLevel of biasPrevalence of biasAssociated with groupsArtificial intelligenceSchizophreniaADHDEncodingBiasAssociationDisordersNeurodiversityDisabilityModel encodingEnhancing the health knowledge and health literacy of recently resettled refugees through classroom-based instructional methods
Agrawal P, Phadke M, Du N, Hosain F, Koons L, Brown C, O'Malley S, Cheng F. Enhancing the health knowledge and health literacy of recently resettled refugees through classroom-based instructional methods. Health Education Research 2024, 39: 159-169. PMID: 38244587, DOI: 10.1093/her/cyae001.Peer-Reviewed Original ResearchConceptsClassroom-based instructionTraditional learning methodsClass timeInstructional methodsEducation modelEducation programsRefugee backgroundsInteractive classesLiteracyHealth education modelHealth literacyHealth knowledgeResettled refugeesInstructionResettled refugee populationsChildcare provisionLearning methodsRefugee populationsTest performanceImprove health-related behaviorsAssociated with health knowledgeKnowledgeHealth educationImprove health outcomesHealth-seeking behaviorDisaster Preparedness in a Resettled Refugee Community: Qualitative Findings
Greenky D, Hassan S, Nerhood K, O’Connor M, Pozzo N, Prasad P, Schoendorf E, Soti S, Murray B. Disaster Preparedness in a Resettled Refugee Community: Qualitative Findings. Disaster Medicine And Public Health Preparedness 2024, 18: e2. PMID: 38204410, PMCID: PMC11027997, DOI: 10.1017/dmp.2023.241.Peer-Reviewed Original ResearchConceptsCommunity-based organizationsResettled refugee communitiesRefugee communitiesDisaster preparednessUnder-resourced communitiesThematic analysis of interviewsSemi-structured interviewsThematic saturationConvenience samplePreparedness needsCommunity stakeholdersThematic analysisDisaster preparedness plansAnalysis of interviewsMultidisciplinary teamQualitative findingsPreparedness challengesCommunity membersSnowball methodPreparedness plansPreparednessInformal responsesInterviewsCommunityNeeds
2023
A compressed large language model embedding dataset of ICD 10 CM descriptions
Kane M, King C, Esserman D, Latham N, Greene E, Ganz D. A compressed large language model embedding dataset of ICD 10 CM descriptions. BMC Bioinformatics 2023, 24: 482. PMID: 38105180, PMCID: PMC10726612, DOI: 10.1186/s12859-023-05597-2.Peer-Reviewed Original ResearchOpportunities and challenges for ChatGPT and large language models in biomedicine and health
Tian S, Jin Q, Yeganova L, Lai P, Zhu Q, Chen X, Yang Y, Chen Q, Kim W, Comeau D, Islamaj R, Kapoor A, Gao X, Lu Z. Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Briefings In Bioinformatics 2023, 25: bbad493. PMID: 38168838, PMCID: PMC10762511, DOI: 10.1093/bib/bbad493.Peer-Reviewed Original ResearchConceptsLarge language modelsLanguage modelSensitive patient dataBiomedical information retrievalText generation tasksInformation retrievalPrivacy concernsDomain expertsInformation extractionText summarizationBiomedical domainArt methodsDiverse applicationsPrevious stateBiomedical researchersGeneration taskPatient dataSuch methodsTaskDistinct complexityGeneration capabilityExtensive literature surveySummarizationRecent rapid progressChallengesAutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models
Datta S, Lee K, Paek H, Manion F, Ofoegbu N, Du J, Li Y, Huang L, Wang J, Lin B, Xu H, Wang X. AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. Journal Of The American Medical Informatics Association 2023, 31: 375-385. PMID: 37952206, PMCID: PMC10797270, DOI: 10.1093/jamia/ocad218.Peer-Reviewed Original ResearchConceptsLanguage modelInformation extraction systemOverall F1 scoreCriteria informationF1 scoreManual annotationScalable solutionContextual informationComplex scenariosContextual attributesExtraction systemReal-world settingsSystem evaluationModeling capabilitiesClinical trial protocol documentsInformationProtocol documentsMedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
Jin Q, Kim W, Chen Q, Comeau D, Yeganova L, Wilbur W, Lu Z. MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval. Bioinformatics 2023, 39: btad651. PMID: 37930897, PMCID: PMC10627406, DOI: 10.1093/bioinformatics/btad651.Peer-Reviewed Original ResearchConceptsInformation retrievalIR tasksUser click logsSemantic information retrievalBiomedical information retrievalBiomedical knowledge acquisitionPre-trained TransformerClinical decision supportClick logsSearch logsContrastive learningLexical matchingArt performanceIR systemsSemantic retrievalBiomedical articlesDecision supportSentence representationModel encoderKnowledge acquisitionLarge modelsSemantic evaluationRetrievalTransformer modelUnprecedented scaleUniversal interpretations of vocal music
Yurdum L, Singh M, Glowacki L, Vardy T, Atkinson Q, Hilton C, Sauter D, Krasnow M, Mehr S. Universal interpretations of vocal music. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2218593120. PMID: 37676911, PMCID: PMC10500275, DOI: 10.1073/pnas.2218593120.Peer-Reviewed Original ResearchConceptsVocal musicDance songsSmall-scale societiesUniversal interpretationHuman songMusical diversityMusical featuresUnfamiliar songsCultural contentUnfamiliar languageGlobal mediaMusicSongsCultural evolutionLullabiesAcoustic characteristicsListenersBehavioral contextSocietyPerceptual phenomenaContextSingersEnglishLanguagePerceptual sensitivity
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