AI Medical Compendium

Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study.

BMC nursing Aug 18, 2025

BACKGROUND: Artificial intelligence (AI) shows great potential to improve clinical nursing practices. However, concerns and challenges related to its implementation have led to resistance among nurses, hindering the widespread use of AI tools in heal... read more

CAP: The creativity assessment platform for online testing and automated scoring.

Behavior research methods Aug 18, 2025

Creativity is increasingly recognized as a core competency for the 21st century, making its development a priority in education, research, and industry. To effectively cultivate creativity, researchers and educators need reliable and accessible asses... read more

Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy.

Scientific reports Aug 18, 2025

We developed an automated framework for segmenting low-quality and non-perfusion areas in widefield OCTA images to obtain two key metrics useful for diabetic retinopathy (DR) monitoring: the retinal non-perfusion index (NPI) and foveal avascular zone... read more

Development and validation of a machine learning model for prediction of cephalic dystocia.

BMC pregnancy and childbirth Aug 18, 2025

BACKGROUND: Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our mode... read more

Non-target screening and priority assessment of organic pollutants in tropical island watershed water.

Ecotoxicology and environmental safety Aug 18, 2025

Numerous organic chemicals are present in aquatic environments, yet systematically identifying and prioritizing these compounds remains a major challenge, particularly in tropical island watersheds where data are scarce. In this study, we applied hig... read more

Co-Designing AI-Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study.

Drug and alcohol review Aug 18, 2025

INTRODUCTION: Developing mass meda campaigns to address rising youth vaping rates in Australia is timely and resource-intensive. Generative AI offers scalable content production, but little is known about youth perceptions of AI-generated multimedia ... read more

Overview of Multimodal Radiomics and Deep Learning in the Prediction of Axillary Lymph Node Status in Breast Cancer.

Academic radiology Aug 18, 2025

Breast cancer is the most prevalent malignancy in women, with the status of axillary lymph nodes being a pivotal factor in treatment decision-making and prognostic evaluation. With the integration of deep learning algorithms, radiomics has become a t... read more

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

The Lancet. Digital health Aug 18, 2025

BACKGROUND: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite inst... read more

Unveiling the impact of bisphenol a exposure on gene expression and immune response in diabetic nephropathy through integrative toxicogenomics and molecular dynamics approaches.

Diabetology & metabolic syndrome Aug 18, 2025

BACKGROUND: Bisphenol A (BPA) exposure has been implicated in various health issues, including diabetic nephropathy (DN). Understanding the molecular mechanisms underlying BPA-induced DN is crucial for developing effective therapeutic strategies. read more

Human augmentation to deliver an enhanced and resilient people capability for Defence.

BMJ military health Aug 18, 2025

From first tools, to flight, to advances in medicine and biotechnology, enhancing our innate abilities has been a constant goal and militaries the world over have long sought to advance the limits of human performance in their warfighters. Human augm... read more

Artificial Intelligence Medical Compendium