Information Technology

Evaluation of an AI Scribe Tool in the Emergency Department: A Single-Arm Observational Study.

BACKGROUND: Generative artificial intelligence (AI) is reshaping the way clinicians record their clinical notes. AI-scribe systems leverage generative AI capabilities to transcribe clinical encounters into draft clinical notes. In this study, we assessed clinician uptake and estimated modelled documentation time savings for an AI-scribe system in an emergency department (ED). METHOD: ED physicians...

LLM Chatbot Integration With Inventory Systems for Gastroenterology and Endoscopy Services: A Systematic Review.

BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling and inadequate inventory management. These issues not only affect patient throughput but also increase the workload for medical staff. Thus considering the current advancements in artificial intelligence we can work towards new opportunities to enha...

Quantum-safe cyber digital twin architectures for proactive threat forecasting and adaptive defense.

As the recent developments in digital infrastructures have led to increased risk of cyber threats. Among them, quantum technology assisted threats sig...

Deep hybrid architecture for multi-class detection of network layer attacks in WSN.

The growth of Wireless Sensor Networks (WSNs) in essential fields such as health care, defense, and environmental monitoring poses severe cybersecurit...

Digital epidemiology investments, Saudi Arabia.

PROBLEM: Traditional epidemiological surveillance methods are often limited by delays in reporting and fragmented data systems. Saudi Arabia faces add...

Artificial intelligence driven digital reproductive health education: Building a terminology database to improve Spanish health communication training.

This study proposes an artificial intelligence based pipeline to create a standardized Spanish reproductive health terminology database, addressing ch...

Artificial intelligence in cardiovascular care for internal medicine: from promising algorithms to useful clinical services.

Artificial intelligence is expanding rapidly in cardiovascular medicine, but its value in internal medicine depends less on raw model performance than...

Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.

Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies dep...

Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems.

BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...

Rethinking healthcare data interoperability in the age of large language models.

Electronic health records contain extensive real-world clinical data, but their effective use is hindered by data heterogeneity and interoperability c...

Privacy preservation of EHR by data anonymization and federated learning for IoT based smart city application in healthcare.

This paper addresses privacy and security challenges in smart cities, particularly in IoT applications that process sensitive data in sectors like hea...

Advances in Digital Pathology and Artificial Intelligence in the Diagnosis of Myeloid Neoplasms.

Recent advances in digital pathology and artificial intelligence (AI) are transforming our ability to diagnose myeloid neoplasms, including acute myel...

Current trends in machine learning for surface-enhanced Raman spectroscopy.

Surface-enhanced Raman spectroscopy (SERS) is being transformed by the widespread adoption of artificial intelligence across the full methodological s...

Post-quantum cognitive zero trust architecture for healthcare IoT devices.

Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-en...

Fully Biobased, Robust, and High-Conductivity Hydrogel for High-Fidelity Electrophysiological Monitoring and Deep Learning-Assisted Stroke Rehabilitation.

Developing sustainable bioelectronics that simultaneously integrate mechanical robustness, high conductivity, biocompatibility, and system-level funct...

Multimodal Prediction of Renal Tumor Malignancy From Radiology Reports and Structured Electronic Health Records: Retrospective Cohort Study.

BACKGROUND: Accurate preoperative prediction of renal tumor malignancy is critical for guiding decisions and reducing overtreatment, as a substantial ...

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in te...

Integrating Structural and Functional Ultrasound Carotid Assessment in a Single Software Platform: Development and Feasibility Evaluation.

BACKGROUND: The extensive assessment of vascular health requires the integration of both structural and functional (hemodynamic) parameters. These are...

A multimodal EHR-based phenotyping framework integrating consensus clustering and transformer-based clinical NLP: application to autoimmune gastritis.

OBJECTIVE: To develop and evaluate a multimodal electronic health record (EHR)-based phenotyping pipeline integrating structured and unstructured clin...

[Emerging classifications of cardiometabolic risk in obesity].

Obesity, historically defined by body mass index and waist circumference, is a major risk factor for cardiometabolic complications; however, these ind...