Results 71 to 80 of about 168,531 (277)
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
Concept of a human-centered electronic health record
This paper examines the challenges and opportunities associated with the implementation of Electronic Health Records (EHR) globally and, specifically, in Germany. While EHRs promise improved accessibility and comprehensibility of patient data, healthcare
Remlinger Wolfram +3 more
doaj +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
Facilitating Genetic Testing for Perinatal Demise: Development of a Multidisciplinary Workflow
ABSTRACT Genetic contributors to perinatal demise are common but frequently undiagnosed due to clinical and logistical barriers. We aimed to improve access to genetic for intrauterine fetal demise (IUFD), stillbirth, and early neonatal death by developing a multidisciplinary workflow.
Mackenzie Mosera +15 more
wiley +1 more source
Dupilumab Beyond the Airway: Decreased Morbidity in a Real‐World Analysis
ABSTRACT Background Post hoc analyses of clinical trials have characterized dupilumab's adverse effects, yet the real‐world impact in chronic rhinosinusitis with nasal polyps (CRSwNP) and asthma is not well described. This study aims to characterize the risks of lymphoma, cardiovascular events, eosinophilia, joint pain, inflammatory arthritis, and ...
Emma J. Anisman +9 more
wiley +1 more source
Artificial intelligence in ophthalmic electronic medical records, health records, and registries
The integration of electronic health records (EHRs) and electronic medical records (EMRs) is fundamentally transforming ophthalmology by generating vast amounts of clinical data.
John Davis Akkara
doaj +1 more source
Electronic Health Record's Effects on the Outpatient Office Visit and Clinical Education
Background: During an office visit, the provider has the important cognitive task of attending to the patient while actively using the electronic health record (EHR).
Marie B Sandoval +2 more
doaj +1 more source
Objective The objective of this study was to compare the long‐term safety profiles of ocrelizumab and rituximab in persons with multiple sclerosis (MS). Methods Using retrospective data from the University of California (UC) Health System, we simulated a target clinical trial. The primary cohort from UC San Francisco (UCSF) and a validation cohort from
Gabriel Cerono +3 more
wiley +1 more source
Background: The sharing of electronic health records among hospitals is crucial for ensuring consistent patient treatment. However, the process remains challenging due to the existence of varied systems, privacy concerns and interoperability issues.
Devaramane Yogaraj Ashwini +1 more
doaj +1 more source
Objective Plasma biomarkers of Alzheimer's disease (AD) pathology are frequently tested in specialized research settings, which limits the generalizability of findings. Using electronic health records and banked plasma, we evaluated plasma biomarkers—phosphorylated tau 217 (p‐tau217), β‐amyloid 1–42/1–40 (Aβ42/Aβ40) and p‐tau217/Aβ42—in a real‐world ...
Katheryn A.Q. Cousins +12 more
wiley +1 more source

