Results 171 to 180 of about 72,925 (303)
Epidemiological trends and indications of shoulder arthroscopy among 191,549 patients in the United States. [PDF]
Burkhart RJ +9 more
europepmc +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Epithelioid Hemangioendothelioma With a Novel Chromosomal Deletion and an Aggressive Clinical Course: A Case Report and Literature Review. [PDF]
Thor DC, Hussain N, de Leon AB.
europepmc +1 more source
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Optimizing Proof-of-Work for Secure Health Data Blockchain Using Compute Unified Device Architecture. [PDF]
Mehammed S.
europepmc +1 more source
Datasheets for machine learning sensors
Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart +14 more
wiley +1 more source
Predictors of Commercial Success in Blockchain Healthcare Insurance: A Mixed-Methods Analysis. [PDF]
Musunuri RL +5 more
europepmc +1 more source
Abstract This article examines how data readiness for AI principles apply to large scientific datasets used to train foundation models. We analyze archetypal workflows across four representative domains—climate, nuclear fusion, life sciences, and materials—to identify common preprocessing patterns and domain‐specific constraints.
Wesley Brewer +6 more
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

