Information Technology

Identifying high-risk patient clusters for falls using unsupervised machine learning on linked primary and secondary care electronic health record data.

Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most research has focused on individual risk factors, leaving the combined impact of comorbidities relatively understudied. This population-wide study used electronic health records (EHR) linked across primary and secondary care to identify falls risk pro...

Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques.

Phishing is considered one of the most widespread and dynamic cyber threats, as attackers use deceitful URL structures to circumvent traditional detection tools. Despite promising performances of machine learning-based phishing detection techniques, the majority of existing models are evaluated under clean conditions, failing to account for adversarial URL evasion methods including obfuscation, en...

Large language models are powerful electronic health record encoders.

Electronic health records (EHRs) offer considerable potential for clinical prediction, but their complexity and heterogeneity challenge traditional ma...

[The application of artificial intelligence in healthcare: benefits, challenges, and issues of responsibility].

INTRODUCTION AND OBJECTIVE: Artificial intelligence is playing an increasingly important role in healthcare, particularly in diagnostics, clinical dec...

AI integration in pediatric radiology: perspectives from international academic leaders.

OBJECTIVE: Artificial intelligence (AI) is increasingly integrated into radiology, but pediatric imaging remains underrepresented in implementation st...

Nurses' knowledge, attitudes, and perceived challenges toward artificial intelligence applications in patient care: a descriptive-analytical cross-sectional study.

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, nurses' knowledge, attitudes, and perceive...

Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.

BACKGROUND: Peri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental window for the emergence of psychiatric symptoms, yet s...

Artificial intelligence assisted telemedicine, clinical decision support for anesthesia and critical care in intensive care units: a scoping review.

BACKGROUND: Artificial intelligence (AI) has been increasingly used in care delivery in intensive care units (ICUs) and anesthesia-critical care pract...

Health before hype: a V-Model blueprint for African digital health and AI regulatory sandboxes.

African governments must regulate fast-growing digital health and artificial intelligence technologies while building the continent's planned digital ...

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

BACKGROUND: Unstructured clinical text remains a major barrier to interoperable data reuse and large-scale secondary analysis in health care. Large la...

[Artificial Intelligence in the Pharmaceutical Industry: Governance, Quality, and Regulatory Challenges].

OBJECTIVE: Artificial intelligence (AI) is progressively transforming the pharmaceutical industry by impacting manufacturing, quality assurance, regul...

The Role of Digital Therapeutics and Artificial Intelligence in Chronic Disease Management: A Narrative Review.

We conducted research showing that chronic disease management continued to challenge healthcare systems, payers, and patients. At the same time, digit...

Expatriate health care workers in Saudi Arabia: Exploring workforce integration, advantages, and challenges in a globalized health care system.

BACKGROUND: Effective expatriate management has become crucial in the health care sector, driven by the growing number of globally mobile professional...

Predicting unplanned 30-day hospital readmissions in patients with urogenital system disorders: a retrospective EMR-based ensemble learning study in Taiwan.

BACKGROUND: Hospital readmissions are a major burden for patients, families, and healthcare systems. Artificial intelligence (AI) and electronic medic...

Advances in Remote Monitoring Technology Applications in Anesthesia: A Narrative Review.

The swift progress of digital and sensor technologies is hastening the incorporation of remote monitoring into anesthesiology. While several reviews h...

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Internal medicine involves high-stakes, time-sensitive decisions (such as triaging acute illnesses, escalating care, providing thromboprophylaxis, pla...

Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System.

PURPOSE: Studies based on electronic health records (EHR) often rely on structured data, which may incompletely capture important clinical phenotypes ...

The Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the architecture of the superfacility.

In the context of the global big data deluge, concerted efforts are being made to address the challenges faced by large scientific facilities. These e...

Using an Ambient Artificial Intelligence Tool to Document Clinical Pharmacist Patient Encounters: Real-World Evidence From a Federally Qualified Health Center.

BACKGROUND: Documentation burden in the electronic health record (EHR), including clinical note writing, inbox management, and order entry, contribute...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...