Medicolegal

Improving Clinical Efficiency Using Artificial Intelligence Scribe for Documentation (ICE-AID Study): A Retrospective-Prospective Cohort Study at a Quaternary Children's Hospital and Health Service.

AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-patient interaction, clinician well-being, consumer perspectives, overtime, and transcription costs. METHODS: Retrospective-prospective study of AIMS project cohort including medical, allied health and nursing practitioners at a quaternary children's hos...

Reassessing the Heterogeneous Effects of Greenspace on Air Pollution Conditioned on Seasons, Vegetation Types, and Street Structures.

Urban greenspace is generally assumed to mitigate air pollution. However, clear large-scale real-world evidence remains limited, particularly regarding how its effects vary with seasons, vegetation types, and street structures. To bridge this gap, this study integrates 4.254 million historical street view images, 1.894 million records of mobile monitoring air pollution data, and three-dimensional ...

Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes.

Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...

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 ...

Engineering Oriented Pt Deposition via Micro-Nano Crisscross Scaffolds: A Paradigm for High-Efficiency HER Catalyst.

A critical issue for the hydrogen evolution reaction (HER) is to break the inherent trade-off between catalytic activity and mass/charge transport in ...

Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.

BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under e...

[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...

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study.

BACKGROUND: Artificial intelligence (AI) technologies are increasingly being integrated into mental health settings to support tasks such as clinical ...

Band gap engineering in Al, Cu, N and Al/Cu Co-doped ZnO thin films: experimental study and quantum machine learning prediction.

This study investigates RF magnetron sputtered ZnO thin films doped with Al, Cu, N and co-doped with Al/Cu, followed by post deposition annealing at 3...

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, ...

Multi-region proteomic mapping identifies FTL1 and SERPINA3K as protective factors in cardiac aging.

Aging is a well-recognized risk factor in cardiovascular diseases (CVDs), primarily due to its association with the gradual decline in cardiac functio...

Assessing Large Language Models for Clinical Coding in Hand Surgery: Effect of Note Authorship, Prompt Design, and Diagnosis/Procedure Type.

BACKGROUND: This study sought to assess large language models' (LLM) ability to generate correct ICD-10 and CPT codes using clinical documentation, an...

Beyond readability: Advancing patient-centered evaluation of AI-generated clinical reports.

Large language models offer promising opportunities to simplify clinical documentation and improve the accessibility of medical information for patien...

From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.

BACKGROUND: Electronic health records (EHRs) are central to clinical documentation and care coordination, yet long-standing studies report persistent ...

Integrating AI into hospital workflows: implementation strategies and real-world barriers.

Artificial intelligence (AI) is increasingly being integrated into hospital systems with the potential to transform clinical workflows, operational ef...

Human-AI collaboration: preserving the human touch in a digital age.

The integration of artificial intelligence (AI) into healthcare is transforming clinical practice, yet its most significant implications extend beyond...

Integrative transcriptomic analysis identifies immune-associated candidate genes and altered immune cell infiltration in pulmonary arterial hypertension.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by immune dysregulation and pulmonary vascular remod...

Advancing Knowledge in Evaluating the Clinical Impact of Large Language Models for Clinical Text Summarization: A Narrative Review.

Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce ...

Conflicting Logics in EHR-AI Integration: Human Factors and Sociotechnical Tensions in Clinical Work.

Electronic health record (EHR) systems have evolved from static repositories of patient information into dynamic platforms that increasingly influence...

Mapping Existing Evidence on Physicians' and Patients' Experiences with GenAI in Clinical Communication and Documentation: A Rapid Review.

GenAI tools like chatbots and ambient scribes are increasingly used in clinical documentation, raising ethical and safety concerns. This rapid review ...