AI Medical Compendium

Employer liability in work accident: A machine learning application from the health and safety at work perspective in Colombia.

Work (Reading, Mass.) Jul 28, 2025

BackgroundWork accidents have been studied from the perspective of outcome indicators, quantifying the frequency and severity of the occurrences. However, accidents at work continue to be a problem. In 2019, 611,275 accidents occurred in Colombia. Al... read more

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Journal of vascular research Jul 28, 2025

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from cardiovascular disease to sepsis, often preceding organ damage and clinical symptoms. Within conditions such as diabetes or septic shock, microvascular c... read more

Artificial Intelligence Is Stereotypically Linked More with Socially Dominant Groups in Natural Language.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 28, 2025

Despite the increasingly important role that artificial intelligence (AI) plays in society, its social representation remains underexplored. This study reveals that AI is asymmetrically stereotyped, being more closely associated with socially dominan... read more

CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS.

Scientific data Jul 28, 2025

We present CAMELSH (Catchment Attributes and Hourly HydroMeteorology for Large-Sample Studies), the first large-sample hydrometeorological dataset at the hourly scale for the contiguous United States. CAMELSH intergrates hourly meteorological time se... read more

Comment on "colorimetric methods using gold nanoparticles for forensic investigations".

Forensic science, medicine, and pathology Jul 28, 2025

This commentary evaluates the clinical and forensic utility of GNP-based colorimetric assays discussed by Anudevi et al., highlighting the absence of validation data, matrix interference analysis, and operational thresholds. Overextensions regarding ... read more

Identifying Cocoa Flower Visitors: A Deep Learning Dataset.

Scientific data Jul 28, 2025

Cocoa is a multi-billion-dollar industry but research on improving yields through pollination remains limited. New embedded hardware and AI-based data analysis is advancing information on cocoa flower visitors, their identity and implications for yie... read more

Animals Deep Learning China Insecta Flowers Pollination Cacao

A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude.

Scientific reports Jul 28, 2025

Deep learning techniques have become pivotal in medical image segmentation, but their success often relies on large, manually annotated datasets, which are expensive and labor-intensive to obtain. Additionally, different segmentation tasks frequently... read more

Humans Algorithms Brain Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging

From promise to practice: a scoping review of AI applications in abdominal radiology.

Abdominal radiology (New York) Jul 28, 2025

AI is rapidly transforming abdominal radiology. This scoping review mapped current applications across segmentation, detection, classification, prediction, and workflow optimization based on 432 studies published between 2019 and 2024. Most studies f... read more

Heat stress responses mediated by N6-methyladenine DNA methylation in maize.

Cell reports Jul 28, 2025

N6-methyladenine (6mA) plays an important role in eukaryotic development and stress responses, yet its function under heat stress (HS) in crops remains unclear. Here, we show that 6mA dynamics in two maize inbred lines, B73 and Mo17, correlate with t... read more

Machine Learning-Assisted Discovery of Bimetallic Oxides for Highly Efficient Catalytic Ozonation.

Environmental science & technology Jul 28, 2025

Catalytic ozonation stands out as an effective process in the advanced treatment of industrial wastewater, where heterogeneous catalysts play a pivotal role. Here, by screening 1603 bimetallic oxides via machine learning (ML), a pioneering ZnCuO was ... read more

Artificial Intelligence Medical Compendium