Information Technology

From molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.

The misuse of benzodiazepines (BZDs) and Z-drugs poses significant global public health challenges. This study maps the scientific evolution and paradigm shifts in this field from 2010 to 2025. A bibliometric analysis of 6,311 publications from the Web of Science Core Collection was performed using VOSviewer and CiteSpace to identify collaboration networks, research hotspots, and emerging frontier...

Can innovation strengthen resilient, just and sustainable health systems in disaster-prone settings? Insights from HSR2024.

Health systems in disaster-prone settings face recurrent shocks that expose and often deepen existing inequities. Increasingly, innovation, particularly digital technologies and artificial intelligence (AI), is positioned as a pathway to strengthen resilience, responsiveness, and accountability. Drawing on insights from innovation-focused sessions at the 8th Global Symposium on Health Systems Rese...

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

BACKGROUND: Multicenter electronic health records (EHRs) can support quality improvement and comparative effectiveness research in critical care. Howe...

A cloud-edge adaptive lightweight network with dynamic inference enables real-time ultrasound image segmentation.

Ultrasound image segmentation plays an important role in clinical diagnosis, but existing deep learning methods struggle to balance accuracy and effic...

Development and external validation of a lightweight, explainable clinical decision support system for personalized perioperative risk stratification using electronic health records.

Late-preoperative risk stratification after final surgical scheduling may support perioperative risk communication, monitoring escalation, and resourc...

An attention-guided multimodal deep learning framework by integrating CT-PET imaging and clinical data for lung cancer detection.

The proposed multi-modal deep learning system for lung cancer diagnosis and characterisation uses structural (CT), functional (PET), and clinical (EHR...

Explainable and clinically audited hybrid self-supervised framework for multi-class DFU classification and mobile deployment.

Accurate and explainable classification of diabetic foot ulcers (DFUs) is vital for early intervention and patient management. This paper presents a C...

A personalized view on how artificial intelligence will change the future of multidirectional cell therapy: From design and engineering foundation to some healthcare applications.

Artificial intelligence (AI) is becoming a central enabling technology for multidirectional cell therapy, regenerative medicine, and transplantation s...

Validating predictive models on EHRs data : lessons learnt from the NCDR-IMPACT-score applied on a French cardiac catheterization cohort.

OBJECTIVE: We present a natural language processing pipeline to extract and re-compute a pre-existing score, the IMPACT-score, in a children's hospita...

Retinal vascular parameters as AI-driven biomarkers for pulse wave velocity assessment: a telemedicine strategy for cardiovascular risk assessment.

BACKGROUND: Pulse wave velocity (PWV), known as the gold standard for evaluating arterial stiffness, is limited by device dependence. This study aims ...

Metaheuristic-driven machine learning study for early detection and classification of Parkinson's disease using feature prioritization with pelican optimization algorithm.

Parkinson disease (PD) is a degenerative disorder of the brain and afflicts approximately 6 in 10 people aged 50 years or older. PD patients have moto...

[The digital patient journey : Performing radiological examinations].

BACKGROUND: The rising demand for imaging studies, increasing diagnostic complexity, and limited personnel resources are organizational challenges for...

Automated Identification of Surgical Site Infections From Electronic Medical Records: Retrospective Observational Predictive Modeling Study.

BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...

PhishDetect: A ranking-based classifier integration approach for improving phishing website detection.

Phishing is a fraudulent activity that includes tricking folks into disclosing personal information by impersonating a legitimate individual or organi...

Nurses' Experiences Using AI in Clinical Practice: Systematic Review.

BACKGROUND: Artificial intelligence (AI) tools are increasingly used in clinical settings, yet most syntheses focus on nurses' attitudes or readiness ...

Deep CNN chaotic key generator for multi-parameter elliptic curves over cybersecurity image encryption application.

A chaotic image encryption technique is introduced relying on efficient non-linear substitution boxes (NL-S boxes) based on Deep convolutional neural ...

An integrated evaluation framework for synthetic clinical data in severely imbalanced settings: fidelity, privacy-risk profiling, and diagnostic utility.

BACKGROUND: The development of clinical artificial intelligence models is constrained by limited access to high-quality electronic health record data,...

An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study.

BACKGROUND: Primary biliary cholangitis (PBC) management remains limited by reliance on static biochemical markers, fragmented assessment of symptom b...

Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges.

Artificial intelligence (AI) is increasingly integrated into burn care for triage, burn-depth assessment, prognostic scoring, pain management, and tel...

Pediatric radiology informatics within a larger academic practice.

As academic health systems increasingly consolidate with unified electronic health records (EHR), picture archiving and communication systems (PACS), ...