Information Technology

A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems.

Novel advances in healthcare-related Internet of Things (IoT) systems have recently had significant ...

A hybrid CNN-spectral architecture for non-contact respiratory rate estimation using multi-region optical-flow analysis.

Respiratory rate (RR) is a key indicator for assessing health conditions, yet noncontact measurement...

Prognostic models in populations with heart failure: a systematic review and meta-analysis.

BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality, highlighting the ne...

Transforming Biospecimen Management: A Roadmap for Integrated Sample Traceability in the Era of Global Research.

INTRODUCTION: Advancements in biomedical research depend on the quality and availability of biologic...

Automated Detection of Ventilator Asynchronies: A Clinical and Technological Perspective.

Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its de...

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected...

Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review.

BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) ...

CubeSat cybersecurity dataset for intrusion detection (CuCD-ID): Labelled NOS3/cFS telemetry (raw + augmented) with COSMOS reproduction scripts.

This data article presents the CubeSat Cybersecurity Dataset for Intrusion Detection (CuCD-ID), a co...

Artificial Intelligence in African Cardiovascular Care: Opportunities, Challenges, and Pathways to Improved Outcomes.

Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in Africa, accountin...

Sustainable Ophthalmology Applications: From the Perspective of Strabismus and Pediatric Ophthalmology.

Ophthalmology significantly contributes to the healthcare sector's carbon footprint. Despite recent ...

Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights.

BACKGROUND: Technological advancements and legislation have led to the widespread use of electronic ...

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis.

BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in glob...

Anomaly detection of cybersecurity behavior using cross-sequence aligned transformer-A dynamic recognition approach for high-frequency interaction patterns.

In high-frequency interaction network environments, network traffic features and user behavior seque...

Utilization and prospects of artificial intelligence in the diagnosis, prediction, and treatment of erectile dysfunction.

INTRODUCTION: Erectile dysfunction (ED) represents a significant global public health challenge in m...

Improving Fairness and Mitigating Bias in Multicenter Electronic Health Records Models to Predict Glaucoma Outcomes.

PURPOSE: To evaluate the effectiveness and generalizability of bias mitigation methods in glaucoma p...

Primary Care Physician Perspectives on Artificial Intelligence for Dementia Screening: A Qualitative Study.

BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient level...

Identification of clinical phenotypes and disease trajectories in SLE using AI through a natural language processing framework.

OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can ...

Direct Integration of Ionic Liquid Gel Sensors onto Microfibrous Face Mask Substrates for Wearable Respiratory Health Monitoring.

Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health o...

Secure electronic health record access control via blockchain, dual-attribute encryption, and large language model-based attribute extraction.

Access control and data privacy are two of the main necessities in managing electronic health record...

Predictive Modeling of Childhood Disease Severity at a Telemedicine Service: Evidence from the Improving Nighttime Access to Care and Treatment Studies in Haiti.

OBJECTIVE: To develop models within pediatric telemedicine that identify potentially "sick" cases fo...

Machine learning and artificial intelligence for delirium prediction with Electronic Health Records (EHR): a scoping review.