Medicolegal

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularly in diagnostic and clinical management contexts. Although their potential to enhance access, efficiency and personalisation is widely recognised, there remain ethical concerns especially around the shifting dynamics of healthcare relationships. This article proposes a conceptual framework for under...

Quantifying the impact of future climate change on the risk of coral rubble instability across the Great Barrier Reef by 2100.

Coral reef systems are facing unprecedented pressures due to climate change, and stable coral rubble substrates are crucial for facilitating large-scale coral regeneration. This study integrates the Sixth Phase of the Coupled Model Intercomparison Project climate models, sea-level rise projections from the Intergovernmental Panel on Climate Change Sixth Assessment Report, Shared Socioeconomic Path...

The legal and ethical considerations in cross-border telesurgical procedures.

Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabling surgeons to perform procedures on patients loc...

Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in...

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured docume...

Clinical Trial Design Approach to Auditing Language Models in Health Care Setting.

PURPOSE: Rapid advancements in natural language processing have led to the development of sophisticated language models. Inspired by their success, th...

Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Traffic emissions have become the major air pollution source in urban areas. Therefore, understanding the highly non-stational and complex impact of t...

Development and validation of the provider documentation summarization quality instrument for large language models.

OBJECTIVES: As large language models (LLMs) are integrated into electronic health record (EHR) workflows, validated instruments are essential to evalu...

SIM: A mapping framework for built environment auditing based on street view imagery

Built environment auditing refers to the systematic documentation and assessment of urban and rural spaces' physical, social, and environmental char...

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Large language models (LLMs) have been extensively evaluated on medical question answering tasks based on licensing exams. However, real-world evalu...

Beyond Explainability: The Case for AI Validation

Artificial Knowledge (AK) systems are transforming decision-making across critical domains such as healthcare, finance, and criminal justice. Howeve...

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

Biological collections house millions of specimens documenting Earth's biodiversity, with digital images increasingly available through open-access ...

From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clínic de Barcelona. The project focuses on enhancing ...

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation

Due to the legal and ethical responsibilities of healthcare providers (HCPs) for accurate documentation and protection of patient data privacy, the ...

Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils.

The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has raised global concerns because of their environmenta...

Accurate Cancer Diagnosis and Treatment Monitoring through Multiplexed Profiling of Protein Markers on Small Extracellular Vesicles.

The detection of small extracellular vesicles (sEVs) is currently a pivotal liquid biopsy approach for noninvasive cancer diagnosis. However, the lack...

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset

Large Language Models (LLMs) are increasingly integrated into critical systems in industries like healthcare and finance. Users can often submit que...

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models

Foundation models have shown remarkable success across scientific domains, yet their impact in chemistry remains limited due to the absence of diver...

Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Palliative care is known to improve quality of life in advanced cancer. Natural language processing offers insights to how documentation around pallia...

Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care providers, particularly in emergency care setting...