Medicolegal

AI-assisted assessment of narrative documentation quality in ART consultations using a domain-based framework.

PURPOSE: To assess narrative clinical documentation quality in assisted reproductive technology (ART) consultations, by applying a transparent, reproducible AI-assisted scoring framework. METHODS: In this cross-sectional observational study, 90 consecutive initial ART consultation records from 9 clinicians were evaluated using a predefined, domain-based documentation scoring framework. Documentati...

Living evidence and gap maps: a scoping review of automation and living mode parameters reported in 44 digital interfaces and their documentation.

OBJECTIVE: To examine how continually updated, living evidence and gap maps (L-EGMs) with an online presence report planned update schedules, retirement plans, living status, use of automation across review stages, and the methodological guidance cited to support their conduct and reporting. STUDY DESIGN AND SETTING: A cross-sectoral scoping review of digital L-EGM interfaces, which act as foundat...

Decoding organ fibrosis: mechanistic insights and emerging therapeutic strategies.

Fibrosis is a maladaptive pathophysiological process characterized by excessive deposition of extracellular matrix resulting from dysregulated tissue ...

Dual-mode 0D/2D spatial asymmetry optoelectronic device enabled by in situ microzone femtosecond laser deposition.

To develop artificial intelligence and humanoid robotics, it is crucial to fabricate advanced vision systems with high efficiency and versatility. A k...

Highly sensitive superhydrophobic SERS substrate combined with machine learning for precise identification and classification of nanoplastics.

The ubiquitous use of plastics in modern society is accompanied by the pervasive occurrence of plastic pollution. Of particular concern are nanoplasti...

An introduction to GitHub and its significance for AI-Driven drug discovery.

INTRODUCTION: GitHub has become essential to AI-driven drug discovery by facilitating code sharing, collaboration, and reproducible workflows. As more...

MRI In Vivo Detection of Amyloid-β Protein Deposition in Different Brain Regions of Patients with AD and MCI.

To investigate a non-invasive magnetic resonance imaging (MRI)-based method for detecting amyloid-β (Aβ) protein deposition in different brain regions...

Evaluation of the level of responsibility in pedestrian crashes using machine learning algorithms.

Traffic crashes involving pedestrians tend to result in the most casualties (minor, serious, or fatal). Therefore, accurately determining the level of...

Advantages and challenges for utilization of generative artificial intelligence in clinical nursing practice: an integrative review.

BACKGROUND: Generative artificial intelligence (AI) has the potential to ease the administrative burden placed on nurses and to advance the quality an...

Leveraging generative AI to transform statistical analysis plan authoring in clinical trials.

BackgroundStatistical analysis plans are critical regulatory documents that define the statistical methodology, objectives, and data-handling procedur...

Interpretable Machine Learning Uncovers the Dominance of Oxygen Partial Pressure and Crystallinity in Mo-Doped In2O3 Thin Film Growth.

Data-driven approaches have accelerated materials discovery, yet they often remain "black boxes" that prioritize performance over physical understandi...

AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study.

BACKGROUND: Health care organizations have started to implement artificial intelligence-powered ambient scribe technology in clinical documentation wo...

Unfair Inequality in Education: A Benchmark for AI-Fairness Research.

This paper introduces a novel benchmark dataset designed to support fairness-oriented research in artificial intelligence within the educational domai...

Cordgrass invasion amplifies microplastic hazard through polymer-selective retention in coastal wetlands.

Coastal wetlands are key repositories and pathways for microplastics (MPs), a role modulated by vegetation. The global spread of the nonnative cordgra...

Diagnostic and Technological Advances in Magnetic Resonance (Focusing on Imaging Technique and the Gadolinium-Based Contrast Media), Computed Tomography (Focusing on Photon Counting CT), and Ultrasound-State of the Art.

Magnetic resonance continues to evolve and advance as a critical imaging modality for disease diagnosis and monitoring. Hardware and software advances...

A Comprehensive Risk Analysis Framework for Medical AI: A Mixed-Methods Approach.

Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of ch...

Human medical documentation significantly outperforms ChatGPT-4o in critical clinical dimensions: A blinded comparative assessment in paediatric orthopaedics.

PURPOSE: This study evaluated the quality of ChatGPT-generated medical history summaries compared to human-created documentation in a paediatric ortho...

Machine learning for site risk prediction in clinical trials: development, external validation, and operational application in site qualification.

BACKGROUND: Site selection and qualification represent critical operational challenges in clinical trials, particularly in rare diseases like transthy...

Targeted inhibition of RGS19 alleviates renal fibrosis by restoring autophagy and modulating immune cell infiltration.

Renal fibrosis, a progressive pathological feature of chronic kidney disease (CKD), is driven by impaired autophagic processes and persistent immune a...

Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

Artificial intelligence (AI) is rapidly transforming healthcare delivery, logistics, and operational decision-making across the Military Health System...