Medicolegal

Emerging Trends in the Integration of Nanotechnology and 3D Printing for Next-Generation Drug Delivery Systems.

OBJECTIVE: To provide a comprehensive overview of three-dimensional (3D) printing as an emerging manufacturing approach in pharmaceutical and biomedical sciences, with a focus on its role in developing advanced and personalized drug delivery systems. SIGNIFICANCE OF REVIEW: 3D printing offers significant advantages over conventional manufacturing techniques by facilitating precise control over dos...

Susceptibility and screening approaches in systemic amyloidosis: expert perspectives from the International Society of Amyloidosis (ISA).

BACKGROUND: Systemic amyloidosis is a progressive disease in which misfolded protein toxicity and deposition lead to organ dysfunction. Early diagnosis is essential to enable timely treatment and prevent irreversible organ damage, yet the disease remains underrecognized. Although advances in imaging and biomarkers have raised suspicion in appropriate contexts, a major barrier is the absence of cle...

Breaking the Autophagy-Oxidative Stress Vicious Cycle in Alzheimer's Disease: Lactiflorin Unlocks P62 Dual Phosphorylation via ULK1 Targeting.

ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of medicinal use in traditional Chinese medicine. Classi...

Natural language processing for detecting endoscopy-related adverse events in free-text procedure reports at a tertiary referral centre in Türkiye: a 10-year retrospective diagnostic accuracy study.

OBJECTIVES: Automated surveillance of endoscopy-related adverse events (AEs) from non-English free-text reports remains insufficiently evaluated. We c...

Toward harmonized reporting of Alzheimer's disease biomarkers in clinical practice.

Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...

Clinician Perceptions of AI in Care: Cross-Sectional Survey.

BACKGROUND: AI is increasingly being explored as a tool to enhance efficiency, access, and diagnostic accuracy in mental health care. However, the per...

Will Artificial Intelligence Replace Me? Automation Susceptibility of Emergency Physician Tasks.

STUDY OBJECTIVE: To apply Autor's labor economics task framework to classify emergency physician tasks by automation susceptibility and map current ar...

Modern generative large language models in epilepsy care: a scoping review of current applications, challenges, and future directions.

Modern generative large language models (LLMs) are increasingly being evaluated in epilepsy-related clinical tasks, but the evidence remains fragmente...

AI scribe functions in psychiatric practice: clinical oversight, consent, and regulation.

Ambient artificial intelligence (AI) documentation tools, known as AI scribes, have entered psychiatric clinical practice, bundling at least three ope...

Trusting the Algorithm or Trusting the Nurse? Critical Care Nurses' Experiences of Automation Bias and Professional Autonomy in AI-Assisted Early Warning.

BACKGROUND: Artificial intelligence-assisted early warning systems (AI-EWS) are increasingly integrated into critical care, yet little is known about ...

Who is responsible? A risk-stratified framework for pharmacist accountability in artificial intelligence-assisted managed care.

Artificial intelligence (AI)-enabled tools are increasingly integrated into managed care pharmacy workflows, particularly in utilization management an...

Multisite Implementation of a Digital Wound Model of Care: A Post-Implementation Multimethods Evaluation of Patient and Clinician Perspectives and Lessons Learned.

This study evaluated district-wide implementation of a digital wound model of care combining an artificial intelligence-enabled application with a vir...

Elevated endogenous glucagon-like peptide-1 as a novel Alzheimer's disease biomarker associated with neuroinflammation and Aβ pathology.

BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder, is pathologically defined by the accumulation of amyloid-β (Aβ) plaques, hyperphos...

Multi-Technique Integration Identifies O-GlcNAc Transferase in Fibroblast-Like Synoviocytes as a Therapeutic Target for Rheumatoid Arthritis.

Rheumatoid arthritis (RA) progression is driven by the pathogenic transformation of stromal fibroblast-like synoviocytes (FLSs). Using artificial inte...

Effect of Ambient Listening Technology on E&M Codes in Orthopaedic Surgery.

BACKGROUND: Accurate Evaluation and Management (E/M) coding depends on the precise documentation of medical decision making. Advances in artificial in...

Large Language Models vs. NASS Common Coding Scenarios: An Analysis of Accuracy and Financial Implications using 2026 CPT AMA Codebook Guidelines.

BACKGROUND CONTEXT: Accurate Current Procedural Terminology (CPT) coding is essential for compliant revenue cycle management in spine surgery. However...

Postgraduate Education in Artificial Intelligence: A Proposal from the Artificial Intelligence Commission of the Portuguese Medical Association.

Artificial intelligence (AI) is entering clinical practice through decision-support systems, predictive tools, generative models, and clinical documen...

Stigmatizing Language in Gender-Expansive Patient Records: Corpus Development, Disparity Analysis, and Natural Language Processing-Based Detection Study.

BACKGROUND: Stigmatizing language (SL) in electronic health records (EHRs) can influence clinical decision-making, propagate bias across care encounte...

Multimodal artificial intelligence-based long-term mortality prediction after transcatheter aortic valve implantation: a multicentre development, validation, and testing study.

BACKGROUND: Appropriate risk prediction is essential to inform long-term management in patients with symptomatic severe aortic stenosis after transcat...

Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning.

Most existing concentration-based risk assessments of potentially toxic elements (PTEs) in farmland soils tend to overlook source-specific transport p...