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Jan David Smeddinck

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Managing Director of the Bavarian AI Foundation Model Initiative

Ludwig-Maximilians-Universität München

Germany

Research Interests

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Recent Grants

Grant: Open

Prehab2Rehab - Integrierte und digital unterstützte Versorgung auf Patientenpfaden von der Prehabilitation zur Rehabilitation

Open Date: 2025-01-05

Close Date: 2027-04-30

Grant: Open

KlimaFIT - Aktive Mobilität, Klimawandel und Rehabilitation - Digitale Wege zur Hitzeresilienz

Open Date: 2024-01-11

Close Date: 2027-04-30

Grant: Close

Centre for Digital Citizens - Next Stage Digital Economy Centre

Open Date: 2020-11-01

Close Date: 2025-10-31

Grant: Close

Identifying Digital Endpoints to Assess FAtigue, Sleep and acTivities in daily living in Neurodegenerative disorders and Immune-mediated inflammatory diseases

Open Date: 2019-11-01

Close Date: 2026-04-30

Grant: Close

Verbundprojekt: Spielerische Bewegungsprogramme mit adaptiven Nutzermodellen für den Einsatz im Gesundheitssektor - Adaptify -, Teilvorhaben: Entwicklung und Integration einer Sensormatte

Open Date: 2015-02-01

Close Date: 2018-06-30

Articles (20)

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Collaborators (9)

Christopher Bull

Lecturer

Newcastle University

UNITED KINGDOM

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Alexander Meschtscherjakov

University Professor

University of Salzburg

AUSTRIA

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Christoph G Schuetz

Johannes Kepler University Linz

AUSTRIA

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Diogo Branco

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Markus Tatzgern

Associate Professor

University of Warwick

UNITED KINGDOM

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Devender Kumar

Assistant Professor

University of Southern Denmark

DENMARK

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Remco Benthem de Grave

Newcastle University

UNITED KINGDOM

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Wolfgang Hitzl

Paracelsus Medizinische Privatuniversität

AUSTRIA

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Andreas Zuckermann

Director Cardiac transplantation

Medical University of Vienna

AUSTRIA

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ApplyKite TwinLearns as you apply

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Jan David Smeddinck

Research Interests

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Recent Grants

Articles (20)

Designing for Negotiation in Collaborative Healthcare: The Role of AI Mediators

Conceptualising an Initial Design Space for Guidance in Digital Physical Activity Support

Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review

AktivTalk: Digitizing the Talk Test for Voice-Based Exercise Intensity Self-Assessment and Exploring Automated Classification from Speech

Towards contextualized multi-level modeling of just-in-time adaptive interventions (JITAIs) in mobile health

From Prehabilitation to Rehabilitation: Identifying Patient Needs and Opportunities for Digital Health Before and After Planned Surgery

Exploring Self-Tracking Practices of Older Adults with CVD to Design LLM-Enabled Health Data sensemaking

Personality as Relational Infrastructuring: User Perceptions of Personality-Trait-Infused LLM Messaging

Preoperative Bioelectrical Impedance Analysis Identifies Altered Body Composition, Which Is Associated with Severe Postoperative Complications in Major Hepatopancreaticobiliary Surgery

Towards Data-Enabled Dialogue: Designing for the Use of Patient-Generated Health Data in Cardiac Rehabilitation

Validation of the Polar Fitness Test for Estimation of Maximal Oxygen Consumption at Rest in Medically Supervised Exercise Training: Comparison with CPET and the 6-Minute Walk Test

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

mHealth Support in Cardiac Care Pathways for Patient Self-Management During Transitions From Hospital to Rehabilitation: Exploratory Field Study

The Last JITAI? Exploring Large Language Models for Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Prospective Cardiac Rehabilitation Setting

Smartphone Apps for Food Purchase Choices: Scoping Review of Designs, Opportunities, and Challenges

Validity of Four Consumer‐Grade Optical Heart Rate Sensors for Assessing Volume and Intensity Distribution of Physical Activity

Establishing Foundations on Both Sides of the Bridge: Exploring Contextual Barriers to Cardiac Rehabilitation Uptake to Inform Digital Health Technology Design

“Be with me and stay with me”: Insights from Co-Designing a Digital Companion to Support Patients Transitioning from Hospital to Cardiac Rehabilitation

Why and how we should conduct a thorough search for existing mobile health applications, before deciding to develop one from scratch

Targeting behavioral factors with digital health and shared decision-making to promote cardiac rehabilitation—a narrative review

Collaborators (9)

Christopher Bull

Alexander Meschtscherjakov

Christoph G Schuetz

Diogo Branco

Markus Tatzgern

Devender Kumar

Remco Benthem de Grave

Wolfgang Hitzl

Andreas Zuckermann

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