Faculty

Institution

Unit

Venue

Joseph Leitschuh

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneJoseph Leitschuh is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

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Experiences

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Education

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Joseph Leitschuh

Oregon Health & Science University

You can click a keyword to filter the displayed items

health sciences diabetes diabetes care diabetes technology medicine insulin delivery diabetes management artificial pancreas physiology sleep blood glucose monitoring health care obesity artificial intelligence computer vision machine learning wearable technology biomedical informatics health technology physiological measurements diabetes research motion detection health monitoring ehealth patient monitoring sleep-related breathing disorders insulin management health policy sport medicine diabetes therapies digital medicine experimental medicine vehicular technology machine vision control optimization diabetes mellitus health outcomes benchmark studies medical nutrition activity recognition biomedical technologies biomedical data analysis fall prevention connected health intermittently connected device decision tree learning sleep medicine sleep disorders sensor technology aeronautics model predictive control intelligent control control strategies dual-hormone closed-loop systems structured exercise sessions different types exercise initiative real-world setting acute glycemic effects dual-hormone artificial pancreas sensor-augmented pump therapy size estimation meal detection real-world falls wearable fitness sensors metabolic expenditure information randomised clinical trial automated in-home detection pilot study

Notable Scholarly Works

Notable Federal Grants

Collaborators

2012-Lb: AI-Based Meal Detection Enables Fully-Automated Pramlintide and Insulin Closed-Loop System to Improve Postmeal Glucose in Type 1 Diabetes (T1D). Diabetes (2025)

diabetes technologyhealth sciencesbiostatisticsdiabetes carediabetes managementinsulin closed-loop systemblood glucose monitoringpostmeal glucosediabetesinsulin deliverypersonalized medicineartificial pancreastype 1

313-or: Outpatient Real-World Use of an Automated Insulin Delivery (Aid) System That Automatically Doses for Meals Compared With Hybrid Commercial Aid Systems. Diabetes (2025)

diabetes technologyhealth sciencesdiabetes carediabetesinsulin delivery

An AI-Enabled Dual-Hormone Model Predictive Control Algorithm That Delivers Insulin and Pramlintide. IFAC-PapersOnLine (2025)

control systemsdiabetes technologycontrol optimizationcontrol strategiesinsulin managementsystems engineeringsystems biologydiabetesartificial pancreasmodel predictive controlintelligent control

Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis. Journal of Diabetes Science and Technology (2025)

statisticsdiabetes technologyhealth sciencesbiostatisticsdiabetes caretime seriesdiabetes managementdiabetes researchblood glucose monitoringglucose patternsdiabetesapplied statistics

Enabling Fully Automated Insulin Delivery Through Meal Detection and Size Estimation Using Artificial Intelligence. npj Digital Medicine (2023)

Clara Mosquera-LopezLeah M. WilsonJoseph El YoussefWade HiltsJoseph LeitschuhDeborah BraniganVirginia GaboJae H. EomJessica R. CastlePeter G. Jacobs

digital medicinemedicinemeal detectionartificial intelligenceinsulin deliverysize estimation

Examining the Acute Glycemic Effects of Different Types of Structured Exercise Sessions in Type 1 Diabetes in a Real-World Setting: The Type 1 Diabetes and Exercise Initiative (T1Dexi). Diabetes Care (2023)

Michael C. RiddellZoey LiRobin L. GalPeter CalhounPeter G. JacobsMark A. ClementsCorby K. MartinFrancis J. Doyle IIISusana R. PattonJessica R. CastleMelanie B. GillinghamRoy W. BeckMichael R. RickelsMichael C. RiddellMichael R. RickelsRoy W. BeckJessica R. CastlePeter CalhounMark A. ClementsFrancis J. DoyleRobin L. GalMelanie B. GillinghamPeter G. JacobsZoey LiCorby K. MartinSusana R. PattonDeniz DaltonLaura E. BocchinoLindsey C. BeaulieuSteven BellBrian BugielskiGabriela Cardenas VillamilEllis L. GreeneRussell GuzzettaAnna MazzuoccoloKyle ShaverKarissa NeubigSuna Onengut-GumuscuStephen S. RichWei-Men ChenJoe PinsonaultJoseph LeitschuhSos OganessianEleonora AielloMatt HeelanLisa SanesanongBrian “Mooose” RiveraHarpreet GillAvinash KolluEarl GlynnBrent LockeeMitchell Barnes

health educationmedicinehealth outcomesdiabetes carediabetes managementreal-world settingdiabetesdiabetes mellitushealth carehealth policyathletic trainingmedical nutritionphysical activitydifferent typesdiabetes researchbenchmark studieshealth sciencesdiabetes therapiesstructured exercise sessionsexercise initiativesport medicineacute glycemic effects

Integrating Metabolic Expenditure Information From Wearable Fitness Sensors Into an AI-Augmented Automated Insulin Delivery System: A Randomised Clinical Trial. The Lancet Digital Health (2023)

Peter G JacobsNavid ResalatWade HiltsGavin M YoungJoseph LeitschuhJoseph PinsonaultJoseph El YoussefDeborah BraniganVirginia GaboJae EomKatrina RamseyRobert DodierClara Mosquera-LopezLeah M WilsonJessica R Castle

randomised clinical trialdiabetesehealthphysiologyhealth technologyhealth monitoringinsulin deliveryintermittently connected deviceconnected healthmetabolic expenditure informationwearable technologydigital healthhealth sciencesexercise physiologysystems engineeringartificial intelligenceexperimental medicinewearable fitness sensorsbiomedical informatics

Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. IEEE Journal of Biomedical and Health Informatics (2020)

Clara Mosquera-LopezEric WanMahesh ShastryJonathon FolsomJoseph LeitschuhJohn CondonUma RajhbeharrysinghAndrea HildebrandMichelle CameronPeter G. Jacobs

health informaticshealth sciencesmedicinemultiple sclerosismachine learningbiomedical data analysisinformaticscomputer visionactivity recognitionbiomedical technologiesreal-world fallsmotion detectionbiomedical engineeringfall preventionbiomedical informatics

Dual-Hormone Closed Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed Loop System Compared to a Predictive Low Glucose Suspend System: An Open Label, Outpatient, Single Center, Crossover, Randomized Control Trial. (2020)

clinical trialsdiabetes technologyhealth sciencesmedicinediabetes carediabetes managementblood glucose monitoringdiabetesartificial pancreas

1038-P: Results of Interim Analysis of a Randomized Crossover Study in Type 1 Diabetes (T1D) of a Dual-Hormone Closed-Loop System With Xerisol™ Glucagon vs. Insulin-Only Closed-Loop System vs. a Predictive Low Glucose Suspend System. Diabetes (2019)

diabetes technologyhealth sciencesbiostatisticsendocrinologydiabetes carediabetes managementinsulin managementdiabetesinsulin deliveryartificial pancreasrandomized crossover studytype 1interim analysisphysiology

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Joseph Leitschuh

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneJoseph Leitschuh is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Joseph Leitschuh

Oregon Health & Science University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

2012-Lb: AI-Based Meal Detection Enables Fully-Automated Pramlintide and Insulin Closed-Loop System to Improve Postmeal Glucose in Type 1 Diabetes (T1D). Diabetes (2025)

313-or: Outpatient Real-World Use of an Automated Insulin Delivery (Aid) System That Automatically Doses for Meals Compared With Hybrid Commercial Aid Systems. Diabetes (2025)

diabetes technologyhealth sciencesdiabetes carediabetesinsulin delivery

An AI-Enabled Dual-Hormone Model Predictive Control Algorithm That Delivers Insulin and Pramlintide. IFAC-PapersOnLine (2025)

control systemsdiabetes technologycontrol optimizationcontrol strategiesinsulin managementsystems engineeringsystems biologydiabetesartificial pancreasmodel predictive controlintelligent control

Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis. Journal of Diabetes Science and Technology (2025)

statisticsdiabetes technologyhealth sciencesbiostatisticsdiabetes caretime seriesdiabetes managementdiabetes researchblood glucose monitoringglucose patternsdiabetesapplied statistics

Enabling Fully Automated Insulin Delivery Through Meal Detection and Size Estimation Using Artificial Intelligence. npj Digital Medicine (2023)

Clara Mosquera-LopezLeah M. WilsonJoseph El YoussefWade HiltsJoseph LeitschuhDeborah BraniganVirginia GaboJae H. EomJessica R. CastlePeter G. Jacobs

digital medicinemedicinemeal detectionartificial intelligenceinsulin deliverysize estimation

Integrating Metabolic Expenditure Information From Wearable Fitness Sensors Into an AI-Augmented Automated Insulin Delivery System: A Randomised Clinical Trial. The Lancet Digital Health (2023)

Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. IEEE Journal of Biomedical and Health Informatics (2020)

Clara Mosquera-LopezEric WanMahesh ShastryJonathon FolsomJoseph LeitschuhJohn CondonUma RajhbeharrysinghAndrea HildebrandMichelle CameronPeter G. Jacobs

clinical trialsdiabetes technologyhealth sciencesmedicinediabetes carediabetes managementblood glucose monitoringdiabetesartificial pancreas

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