Back to search

Article

AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making

2025-10-10

Abstract excerpt

AI-powered wearable sensors are transforming remote health monitoring by enabling real-time diagnostics, personalized interventions and proactive disease management. This review synthesizes recent advances in AI-integrated biosensors across conditions such as diabetes, cardiovascular disease, neurodegenerative dis- orders, mental health, and maternal/neonatal care, while addressing challenges of scalability, priva...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
23066a3a-ee1b-5b48-9db7-4a942cbd56d9
DOI
10.20944/preprints202507.2601.v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision MakingDOI 10.20944/preprints202507.2601.v2
An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor DataSemantic proximity
Digital Twins and Predictive AI Frameworks for Simulating Health Trajectories and Optimizing Medication Adherence in Geriatric CareSemantic proximity
Harnessing AI and IoT for the Future of Healthcare: A Comprehensive Review on Chronic Disease Management and Pandemic ResponseSemantic proximity
An aging focused unobtrusive and Privacy-Preserving Digital BehavioromeSemantic proximity
Artificial Intelligence in Medicine: Revolutionizing Healthcare Practices and Patient OutcomesSemantic proximity
EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health recordsSemantic proximity
Development of an Evidence-Based Synthetic Dataset for AI-Driven Multi-Condition Health Screening Using IoT Sensors and Symptom ProfilesSemantic proximity
A Physiology-Aware, Orthogonalized, Calibration-First Machine-Learning Diabetes Risk Model Robust to Population ShiftSemantic proximity
Artificial Intelligence in Biosensor Systems for Healthcare: From Molecular Recognition to Machine LearningSemantic proximity
Wearable Sensors and Artificial Intelligence for Ecological Knee Osteoarthritis Assessment: Development and Feasibility of a Hybrid Digital Phenotyping Framework.Semantic proximity
NDPAI: Neuroscience-Derived Predictive Active Inference for Calibrated Cross-Subject Wearable Stress DetectionSemantic proximity
A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19Semantic proximity
Select a neighboring publication to make it the new centre.