Information Technology

Reconfigurable Multiscroll Memristive Neural Network With Application to Telemedicine Privacy Protection.

Constructing memristive neural networks (MNNs) with multiscroll chaotic attractors helps advance both theoretical and applied research on neural networks. However, the existing models mainly utilize complex memristor models with polynomial functions, nested composite functions, and so on, to generate multiscroll chaotic attractors, which leads to increased model complexity and difficulties in on-d...

Bringing AI to the OR: integrating a machine learning predictive model in the EHR - a pilot on user-friendliness.

OBJECTIVES: Evaluate the technical integration and usability of an intraoperative predictive machine learning model for colorectal anastomotic leakage within the Epic electronic health records (EHRs) at a single academic centre, with outputs blinded. METHODS: The system used 28 data elements from patient records, intraoperative monitoring equipment and structured operating room (OR) observations. ...

A privacy-preserving multi-user retrieval system for multimodal artificial intelligence.

Large language models (LLMs) are integral to cloud-based AI applications, offering robust capabilities for multimodal data processing and retrieval. H...

Quantum transfer learning for cross-domain cybersecurity threat detection and categorization.

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study.

BACKGROUND: Large electronic databases are powerful tools for studying rare diseases, however accurate Interstitial Lung Disease (ILD) classification ...

Defining Physician-AI Collaboration in Pulmonary and Critical Care Medicine: Concepts and Illustrative Examples for Clinical Reasoning.

The exponential growth of medical data and complexity in Pulmonary and Critical Care Medicine (PCCM) necessitates a paradigm shift in clinical reasoni...

Experiences With Integrating Medical Terminologies Into User Interfaces for a Decision Support System for Primary Care: Conceptual and Development Study.

BACKGROUND: Clinical decision support systems (CDSSs) have shown promise in improving diagnosis in primary care, particularly for chronic diseases. Th...

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 impacts on clinical decision-support systems (CDSS...

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 remains challenging due to motion artifacts, ligh...

Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges.

BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns r...

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 need for reliable prognostic models. This study prov...

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 biological samples. Despite their sophisticated storage ca...

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

Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its detection at the bedside remains limited. Convention...

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 in asymptomatic individuals. Current diagnostic a...

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) have accelerated the development of data-driven he...

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 collection of labelled command and telemetry data de...

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, accounting for over 1 million deaths annually. As CVD preva...

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

Ophthalmology significantly contributes to the healthcare sector's carbon footprint. Despite recent increases in sustainability research in ophthalmol...

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

BACKGROUND: Technological advancements and legislation have led to the widespread use of electronic health records (EHRs) in the 21st century. Along w...

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 global health governance. While widely discussed in hi...