Mary-Anne "Annie" Hartley, MD, PhD, MPH
Assistant Professor of Biomedical Informatics and Data ScienceCards
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
About
Titles
Assistant Professor of Biomedical Informatics and Data Science
Affiliated Faculty, Yale Institute for Global Health
Biography
Mary-Anne "Annie" Hartley is an Assistant Professor in Biomedical Informatics and Data Science at Yale. Her research is focused on developing and validating novel data-driven tools designed to improve healthcare in low-resource settings, with a special interest in Africa.
She completed her undergraduate degrees at the Universities of Pretoria and Cape Town before moving to Switzerland, where she completed a PhD and MD at the University of Lausanne, with an MPH at the London School of Hygiene and Tropical Medicine.
In 2019, she started the research group, "Intelligent Global Health" in the School of Computer Science at the Swiss Institute of Technology (EPFL) and continues this work in LiGHT (Laboratory for intelligent Global Health Technologies).
Through these groups, she maintains a strong presence and partnership between EPFL and Yale through student exchange, research collaboration, and a visiting professorship.
The groups collaborate with international NGOs and clinical partners to create and validate needs-based digital global health technology using novel approaches in data science and informatics.
Appointments
Biomedical Informatics & Data Science
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Group Lead
- Swiss Federal Institute of Technology Lausanne (EPFL)
- Resident
- University Hospital of Bern
- Resident
- University Hospital of Lausanne, Unisanté
- MD
- University of Lausanne
- MPH
- London School of Hygiene and Tropical Medicine
- PhD
- University of Lausanne
- MSc
- University of Cape Town
- BSc
- University of Pretoria
- EMT
- Critical Care Academy
Research
Overview
Public Health Interests
ORCID
0000-0002-8826-3870- View Lab Website
Lab website [LiGHT]
Research at a Glance
Yale Co-Authors
Publications Timeline
Nancy Saravia, PhD, MSc
Publications
2024
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images
Naumova K, Devos A, Karimireddy S, Jaggi M, Hartley M. MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. Npj Digital Medicine 2024, 7: 238. PMID: 39242810, PMCID: PMC11379706, DOI: 10.1038/s41746-024-01226-1.Peer-Reviewed Original ResearchAltmetricConceptsX-ray datasetFederated learningData ownersBiomedical imagingCompromising privacyLearning networkClient dataGlobal prototypesBalanced accuracyData biasOriginal dataCollaborative learningClientsDataModel performanceLearningDiagnostic classifierImagesJoint modelPrediction modelClassifierPrivacyGlobal modelPerformanceDatasetWeb-based objective and structured assessment of point-of-care lung ultrasound skills in resource-limited settings
Suttels V, Chichignoud I, Wachinou P, Du Toit J, Mans P, Blanco J, Agodokpessi G, Brahier T, Hartley M, Garcia E, Boillat-Blanco N. Web-based objective and structured assessment of point-of-care lung ultrasound skills in resource-limited settings. BMC Medical Education 2024, 24: 939. PMID: 39198828, PMCID: PMC11360711, DOI: 10.1186/s12909-024-05925-x.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPoint-of-care ultrasoundPOCUS trainingContinuing educationAssessment toolWeb-based assessment toolMiddle-income countriesLung point-of-care ultrasoundPractical skills testResource-limited settingsPOCUS skillsSuccess rateUltrasound skillsFischer's exact testStructural assessmentSkills TestLung ultrasound scoreWeb-basedLMICsEvaluate traineesExact testTrainingUltrasound scoreTraineesWeb-based toolSkillsAutomated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis
Ruchonnet-Métrailler I, Siebert J, Hartley M, Lacroix L. Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis. Journal Of Medical Internet Research 2024, 26: e53662. PMID: 39178033, PMCID: PMC11380063, DOI: 10.2196/53662.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsGrey literature searchArtificial intelligenceScoping reviewPediatric asthmaLiterature searchManagement of pediatric asthmaField of medical AILung auscultationDeep learningMedical AIPersonalized management strategiesData collectionThreat analysisRemote monitoring capabilitiesInterpretation of lung soundsLung soundsAccuracy of AIData setsStandardized assessmentAutomated interpretationPulmonary auscultationAbsence of external validationEarly diagnosisIdentified strengthsLung sound analysisPLUS-IS-LESS project: Procalcitonin and Lung UltraSonography-based antibiotherapy in patients with Lower rESpiratory tract infection in Swiss Emergency Departments: study protocol for a pragmatic stepped-wedge cluster-randomized trial
Bessat C, Bingisser R, Schwendinger M, Bulaty T, Fournier Y, Della Santa V, Pfeil M, Schwab D, Leuppi J, Geigy N, Steuer S, Roos F, Christ M, Sirova A, Espejo T, Riedel H, Atzl A, Napieralski F, Marti J, Cisco G, Foley R, Schindler M, Hartley M, Fayet A, Garcia E, Locatelli I, Albrich W, Hugli O, Boillat-Blanco N. PLUS-IS-LESS project: Procalcitonin and Lung UltraSonography-based antibiotherapy in patients with Lower rESpiratory tract infection in Swiss Emergency Departments: study protocol for a pragmatic stepped-wedge cluster-randomized trial. Trials 2024, 25: 86. PMID: 38273319, PMCID: PMC10809691, DOI: 10.1186/s13063-023-07795-y.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPrescription of antibioticsRespiratory tract infectionsLung ultrasoundSwiss emergency departmentEmergency departmentTract infectionsAntibiotic prescriptionsProportion of patients prescribed antibioticsBackgroundLower respiratory tract infectionsCluster-randomizedSide effectsAntibiotic-related side effectsLower respiratory tract infectionsLength of hospital stayPatients prescribed antibioticsClinical severity scoreClinical prediction scoreProportion of patientsReducing antibiotic prescriptionsCo-primary endpointsChest X-rayDecrease side effectsPreserving patient safetyPattern of pneumoniaProportion of antibiotics
2023
Safety and immunogenicity of a synthetic nanoparticle-based, T cell priming peptide vaccine against dengue in healthy adults in Switzerland: a double-blind, randomized, vehicle-controlled, phase 1 study
Miauton A, Audran R, Besson J, Hajjami H, Karlen M, Warpelin-Decrausaz L, Sene L, Schaufelberger S, Faivre V, Faouzi M, Hartley M, Spertini F, Genton B. Safety and immunogenicity of a synthetic nanoparticle-based, T cell priming peptide vaccine against dengue in healthy adults in Switzerland: a double-blind, randomized, vehicle-controlled, phase 1 study. EBioMedicine 2023, 99: 104922. PMID: 38128414, PMCID: PMC10776924, DOI: 10.1016/j.ebiom.2023.104922.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCD8+ T cellsT cellsDouble-blindIntention-to-treatVehicle-controlledAdverse eventsVirus-specific CD8+ T cellsPeptide vaccinesCD8+ T cell immunityInjection site erythemaInjection site painT cell immunityPhase 1 studyPhase 1 trialDengue vaccine candidateAnti-DENV antibodiesAntibody-dependent enhancementSite painSevere dengueGlobal health threatCentral memoryPrimary outcomeCD8Microneedle injectionInduced antibodiesModular Clinical Decision Support Networks (MoDN)—Updatable, interpretable, and portable predictions for evolving clinical environments
Trottet C, Vogels T, Keitel K, Kulinkina A, Tan R, Cobuccio L, Jaggi M, Hartley M. Modular Clinical Decision Support Networks (MoDN)—Updatable, interpretable, and portable predictions for evolving clinical environments. PLOS Digital Health 2023, 2: e0000108. PMID: 37459285, PMCID: PMC10351690, DOI: 10.1371/journal.pdig.0000108.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical decision support systemPrivacy-preserving learningSize of dataNeural network moduleDecision support systemRule-based logicNovel decision treeData-driven modelsMultilayer perceptronDecision treeMacro-F1Support systemNetwork modulesTraining updatesNew datasetBaseline modelDatasetCollaborative learningModular designClinical environmentPredictive feedbackDiagnostic predictionIdeal scenarioContinuous feedbackNetworkBarriers and facilitators to implementation of point-of-care lung ultrasonography in a tertiary centre in Benin: a qualitative study among general physicians and pneumologists
Suttels V, Da Costa S, Garcia E, Brahier T, Hartley M, Agodokpessi G, Wachinou P, Fasseur F, Boillat-Blanco N. Barriers and facilitators to implementation of point-of-care lung ultrasonography in a tertiary centre in Benin: a qualitative study among general physicians and pneumologists. BMJ Open 2023, 13: e070765. PMID: 37369423, PMCID: PMC10357755, DOI: 10.1136/bmjopen-2022-070765.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLower respiratory tract infectionsTertiary centerGeneral physiciansDiagnostic performanceProspective cohort studyRespiratory tract infectionsCare lung ultrasoundCare lung ultrasonographyProgram 6 monthsExcellent diagnostic performanceCohort studyImplementation of pointRespiratory symptomsTract infectionsMiddle-income countriesSpecialist careLung ultrasonographyLung ultrasoundPhysicians' perceptionsHospital settingPatient experienceQualitative studyDiagnostic approachClinical routineHealth equityDeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries
Heitmann J, Glangetas A, Doenz J, Dervaux J, Shama D, Garcia D, Benissa M, Cantais A, Perez A, Müller D, Chavdarova T, Ruchonnet-Metrailler I, Siebert J, Lacroix L, Jaggi M, Gervaix A, Hartley M. DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries. Npj Digital Medicine 2023, 6: 104. PMID: 37268730, PMCID: PMC10238513, DOI: 10.1038/s41746-023-00838-3.Peer-Reviewed Original ResearchCitationsAltmetricConceptsAcute respiratory illnessPediatric outpatientsRespiratory illnessRespiratory pathologyLung auscultationReceiver operator characteristicHealthy controlsRespiratory rateThoracic sitesRespiratory cycleBronchiolitisPneumoniaOutpatientsPatientsPathological breathingIllnessPathologyAuscultationDisordersSignificant improvementObjective estimatesBreathingAUROCePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries
Tan R, Cobuccio L, Beynon F, Levine G, Vaezipour N, Luwanda L, Mangu C, Vonlanthen A, De Santis O, Salim N, Manji K, Naburi H, Chirande L, Matata L, Bulongeleje M, Moshiro R, Miheso A, Arimi P, Ndiaye O, Faye M, Thiongane A, Awasthi S, Sharma K, Kumar G, Van De Maat J, Kulinkina A, Rwandarwacu V, Dusengumuremyi T, Nkuranga J, Rusingiza E, Tuyisenge L, Hartley M, Faivre V, Thabard J, Keitel K, D’Acremont V. ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries. PLOS Digital Health 2023, 2: e0000170. PMID: 36812607, PMCID: PMC9931356, DOI: 10.1371/journal.pdig.0000170.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical decision support algorithmsDecision support algorithmQuality of careMiddle-income settingsMiddle-income countriesReliability of clinical signsCountry of implementationMobile healthSupport algorithmImprove uptakeClinical contentPediatric outpatientsHealth authoritiesChildhood mortalityClinical expertsIntegrated development processProgramming skillsPerformance of predictorsAntibiotic prescriptionsClinical algorithmCliniciansCareClinical validation studiesEnd-usersAlgorithm suite
2022
What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response
Mannarini G, Posa F, Bossy T, Massemin L, Fernandez-Castanon J, Chavdarova T, Cañas P, Gupta P, Jaggi M, Hartley M. What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response. PLOS Global Public Health 2022, 2: e0000721. PMID: 36962770, PMCID: PMC10022143, DOI: 10.1371/journal.pgph.0000721.Peer-Reviewed Original ResearchCitationsConceptsUnemployment rateHigh-income countriesPolicy mixCOVID-19 mitigation policiesEconomic informationPolicy efficacyPolicy impactCountry-specific responsesIndividual countriesOptimal policyMitigation policiesIncome countriesPolicyPandemic policiesDamage estimatesCountriesTerms of costEconomic damageYears of dataHealth policyCostCOVID-19 pandemicPandemic scenarioPublic health policyEconomic losses
News
News
- June 17, 2024
BIDS Bets on Global Talent
- April 25, 2024Source: Meta
Meditron: An LLM Suite for Low Resource Medical Settings Leveraging Meta Llama
- April 24, 2024
Yale-EPFL AI Model for Medicine Featured in 2024 AI Index Report
- March 19, 2024
Branching Out: Annie Hartley Explores D-tree Collaborations in Zanzibar
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100 College Street
Lab
Fl 9th, Rm A912B
New Haven, CT 06510