Medicolegal

Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.

Rivers are dynamic geomorphological systems that frequently alter their courses due to erosion, sediment deposition, channel migration, and flooding. Although such changes are normal, a sudden and major change like the diversion of the Kosi River in Bihar in 2008 can cause disastrous flooding, displacement and heavy land loss. The conventional methods are a poor fit because manual interpretation o...

Integrating multi-proxy geochemistry and machine learning to decode cretaceous palaeoenvironments and tectonic evolution in the Nigerian Middle Benue Trough, West Africa.

The Middle Benue Trough, a key segment of the West African Rift, preserves a complex Cretaceous stratigraphy important for understanding basin evolution and hydrocarbon potential. We integrate sedimentological (foraminifera, palynofacies, clay minerals) and geochemical (major oxides, trace elements, REEs including weathering indices such as the chemical index of alteration) proxies in a machine-le...

Generative AI in the Care of Older Adults: A Position Statement From the American Geriatrics Society.

BACKGROUND: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is being integrated into healthcare documentation, ...

Tracking Out-Of-Equilibrium Growth of Bimetallic Nanoalloys Using Deep Learning and X-ray Scattering.

Reconstructing the growth of metallic nanoparticles in real time remains a long-standing challenge, particularly for nanoalloy systems that exhibit co...

Diagnostic potential of B-cell translocation gene 2 in IgA nephropathy: Insights from molecular mechanisms.

IgA nephropathy (IgAN) is a prevalent glomerular disease characterized by IgA deposition, chronic inflammation, and fibrosis, leading to end-stage ren...

Hexagonal Boron Nitride on Liquid and Single-Crystal Copper: Operando X-Ray and Atomistic Insights into Growth and Interfacial Structure.

Two-dimensional (2D) hexagonal boron nitride (hBN) is a key dielectric for van der Waals nanoelectronics, however, its controlled synthesis by chemica...

Neural network-enhanced investigation of ferroptosis and druggability in early-onset alzheimer's disease.

Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive dec...

Actively Programming Battery Chemistry via Pulse Modulation.

The advancement of high-energy electrochemical energy storage is increasingly throttled by the kinetic and thermodynamic bottlenecks inherent to stead...

Precision forensic toxicology: Leveraging Toxicogenomics, multi-omics, and artificial intelligence for next-generation poisoning investigations.

For much of its history, forensic toxicology was built on a core analytical question: what poison or drug is present, and at what concentration? That ...

Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center.

OBJECTIVE: Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (A...

Should I and Can I use AI for forensic psychiatry report writing?: A Viewpoint.

The rapid evolution of artificial intelligence (AI), particularly large language models (LLMs), has renewed interest in their potential role in forens...

Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma.

BACKGROUND: Epidemiological studies link long-term air pollution to an increased risk of hepatocellular carcinoma (HCC), but the underlying toxicologi...

Multimodal molecular mapping of the vasculature in human cortex reveals lipid markers of cerebral amyloid angiopathy.

Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecular changes that accompany vascular [Formula: see te...

Machine learning on asynchronous clinical pages to predict clinical deterioration.

OBJECTIVES: Clinical deterioration in hospitalized patients is often preventable, but traditional early warning scores based on structured data are li...

Automated quality assurance for emergency department documentation: pilot comparison with physician peer review of simulated chest pain cases.

OBJECTIVES: To evaluate the feasibility and reliability of an artificial intelligence-driven quality assurance system for emergency chest pain documen...

AI-SOFA: An EMR-integrated Nursing Informatics-driven Decision Support System for Mortality Risk-informed ICU Clinical Decision-making.

Accurate and timely mortality prediction is essential for nursing clinical decision-making in intensive care units (ICUs). Although the Sequential Org...

First-episode psychosis and mood disorder onset in individuals with epilepsy.

BACKGROUND: Psychiatric disorders represent a major burden for patients with epilepsy (PwE). This study examined how demographic, epilepsy-related, an...

Feasibility assessment of calcium carbonate scale thickness and volume fraction estimation in three-phase flow using neutron activation analysis and deep neural networks.

Accurate characterization of fluid volume fractions and scale deposition in multiphase flows is essential for optimizing oil and gas production and tr...

Effectiveness of an AI-augmented teacher feedback model in improving medical students' clinical documentation skills: a retrospective cohort study.

BACKGROUND: Clinical documentation is central to evaluating medical students' clinical competence. However, traditional teacher feedback is often inef...

Palliative Care Physicians' Perceptions about Using Artificial Intelligence for Prognostication.

CONTEXT: Statistical and artificial intelligence (AI)-based methods have informed clinical prognostication for decades, evolving into machine learning...