Edward Meinert

Professor of Digital Health and Clinical Artificial Intelligence

Newcastle University

United Kingdom

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About

Edward Meinert is a Professor of Digital Health and Clinical Artificial Intelligence at Newcastle University in the United Kingdom. His research areas focus on the application of artificial intelligence in healthcare, particularly in epilepsy management, health economic evaluations, and patient monitoring. Recent articles include studies on machine learning for health evaluations and digital health technologies for chronic conditions such as Parkinson's disease and obesity.

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Collaborators (21)

Jackie Andrade

University of Plymouth

UNITED KINGDOM

Edward Meinert

Research Interests

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About

Articles (24)

Digital health technologies and self-efficacy in Parkinson’s: a scoping review

The use of AI in epilepsy and its applications for people with intellectual disabilities: commentary

Machine Learning in Health Economic Evaluations: Protocol for a Scoping Review

Predicting patient deterioration with physiological data using AI: systematic review protocol

Improving the Predictive Accuracy of the National Early Warning Score 2: Protocol for Algorithm Refinement

Conversational Systems for Social Care in Older Adults: Protocol for a Scoping Review

From past to future: Digital approaches to success of clinical drug trials for Parkinson's disease

The effectiveness and usability of online, group-based interventions for people with severe obesity: a systematic review and meta-analysis

Effectiveness and Theoretical Foundations of mHealth apps for Physical Activity, Health Eating and Weight Loss: Protocol for a Systematic Review and Meta-analysis (Preprint)

Subcutaneous electroencephalography monitoring for people with epilepsy and intellectual disability: co-production workshops

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

Barriers and facilitators to parents’ engagement with and perceived impact of a childhood obesity app: A mixed-methods study

Self-management systems for Patients and Clinicians in Parkinson’s care: Protocol for an integrated Scoping Review, Product Search and Evaluation (Preprint)

Impact of digital technologies on self-efficacy in people with Parkinson’s: a scoping review protocol

Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review

Incorporating usability evaluation into iterative development of an online platform to support research participation in Parkinson’s disease: a mixed methods protocol

Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

The Role of Health Kiosks: Scoping Review

Humanizing Health and Social Care Support for People With Intellectual and Developmental Disabilities: Protocol for a Scoping Review

The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study

Self-management Interventions for People With Parkinson Disease: Scoping Review

Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review

Impact of fast-track regulatory designations on strategic commercialization decisions for autologous cell therapies

Remote Electroencephalography Monitoring of Epilepsy in Adults: Protocol for a Scoping Review

Collaborators (21)

Jackie Andrade

Victoria Allgar

Jon May

Camille Carroll

Mark Philip Richardson

Inocencio Daniel Maramba

Sophie Homer

Zhanfeng Cui

Ray Jones

Jonas Duun-Henriksen

Katherine Edwards

Gavin Winston

Gurdeep Sagoo

Arunangsu Chatterjee

Chris Plummer

Dan Goodley

Asiya Khan

Ingrid Wolfe

David Walker

Brendan Mclean

Marie-Louise Zeissler

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