Information Technology

Real-Time Implementation of Accelerated HCP-MMA for Deep Learning-Based ECG Arrhythmia Classification Using Contour-Based Visualization.

This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multiscale Multifractal Analysis (HCP-MMA) for deep learning-based ECG arrhythmia classification. Traditional heart rate variability analyses rely on fixed time scales and predefined parameters, limiting their ability to capture intricate scaling patterns and leading to diagnostic inconsistencies. HCP-MM...

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.

BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing and exchanging health care data. At the same time, image-based artificial intelligence (AI) models for quantifying relevant body structures and organs from routine computed tomography (CT)/magnetic resonance imaging scans have emerged. The missing link, simultaneously a needed step in advancing pers...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in the acute assessment (first 24 h postinjury) of pa...

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

The swift development of the Internet of Things (IoT) devices has created a pressing need for effective cybersecurity measures. They are vulnerable to...

Ethical and privacy challenges of integrating generative AI into EHR systems in Tanzania: A scoping review with a policy perspective.

OBJECTIVES: This study examines the ethical and privacy challenges of integrating generative artificial intelligence (AI) into electronic health recor...

Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR).

(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessment to predict toxicological effects. Many thousan...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple healthcare settings, often leading to delays, redundant ...

Whispers beneath the skin: how microneedles are shaping tomorrow's therapies.

Microneedles (MNs) offer a minimally invasive alternative to conventional patch-based and injection-based drug delivery methods. By bypassing first-pa...

Flexible imputation toolkit for electronic health records.

Missing data in electronic health records (EHRs) poses a significant challenge for analysis. This study introduces Pympute, a comprehensive Python pac...

AI-enhanced telemedicine for personalized antiretroviral therapy in HIV patients with neurological comorbidities: a narrative review.

BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition with highly active antiretroviral therapy (HAART), ...

An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks.

As cyberattacks become more advanced, conventional centralized threat intelligence models often fail to keep up with these threats' growing complexity...

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

BACKGROUND: Current guidelines require physician confirmation for smartwatch-diagnosed atrial fibrillation (AF), increasing telemedicine workloads. Th...

[The actual directions of digital development of health care system].

The article presents results of analysis of current trends, challenges and prospects of health care digitization. The key directions of digital transf...

Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.

Electronic Health Records (EHRs) serve as a comprehensive repository of multimodal patient health data, combining static demographic attributes with d...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often relied on self-reported activity measures or short-t...

CDEMapper: enhancing National Institutes of Health common data element use with large language models.

OBJECTIVE: Common Data Elements (CDEs) standardize data collection and sharing across studies, enhancing data interoperability and improving research ...

Experiencing digital technologies: The importance of feeling safe in healthcare - A qualitative participatory design.

Digital technologies are increasingly used in healthcare. In this context, perceived safety plays a critical role in their acceptance and implementati...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for healthcare providers to summarize and synthesize re...

Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.

In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in v...

Systematic Identification of Caregivers of Patients Living With Dementia in the Electronic Health Record: Known Contacts and Natural Language Processing Cohort Study.

BACKGROUND: Systemically identifying caregivers in the electronic health record (EHR) is a critical step for delivering patient-centered care, enhanci...