AI Medical Compendium

How can Machine Learning inform about chemical risks in circular textiles?

Integrated environmental assessment and management Jul 15, 2025

Hazardous chemicals in textiles represent a serious health issue. This is mainly due to missing data on the used chemicals and/or on their hazard, which prevents proper chemical risk assessment. Although identifying and filling these data gaps is cru... read more

Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach.

BMC psychiatry Jul 15, 2025

Integrating artificial intelligence in community-based diabetes care programmes: enhancing inclusiveness, diversity, equity and accessibility a realist review protocol.

BMJ open Jul 15, 2025

INTRODUCTION: Marginalised populations-such as racialised groups, low-income individuals, newcomers and those in rural areas-disproportionately experience severe diabetes-related complications, including diabetic foot ulcers, retinopathy and amputati... read more

Humans Artificial Intelligence Research Design Health Services Accessibility Diabetes Mellitus Health Equity Systematic Reviews as Topic Healthcare Disparities Cultural Diversity Community Health Services

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities

arXiv Jul 15, 2025

Vision-language models (VLMs) are increasingly applied to identify unsafe or inappropriate images due to their internal ethical standards and powerful reasoning abilities. However, it is still unclear whether they can recognize various unsafe conce... read more

Cryptography and Security Artificial Intelligence

Using Data Mining to Differentiate Dengue with Warning Signs from Severe Dengue: A Predictive Model from Oaxaca, Mexico.

The American journal of tropical medicine and hygiene Jul 15, 2025

Dengue with warning signs (DWS) and severe dengue are significant public health concerns in tropical and subtropical regions globally. Accurate and timely differentiation between these clinical forms of dengue, although crucial, is often complex. In ... read more

A comparative study and simple baseline for travel time prediction.

Scientific reports Jul 15, 2025

Accurate travel time prediction (TTP) is essential to freeway users, including drivers, administrators, and freight-related companies, for enabling them to plan trips effectively and mitigate traffic congestion. However, TTP is a complex challenge ev... read more

GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

arXiv Jul 15, 2025

Cross-view localization, the task of estimating a camera's 3-degrees-of-freedom (3-DoF) pose by aligning ground-level images with satellite images, is crucial for large-scale outdoor applications like autonomous navigation and augmented reality. Ex... read more

Computer Vision and Pattern Recognition

Tests of Artificial Neural Network-Based Diabatization Approaches on Simple 1D Models.

Journal of chemical theory and computation Jul 15, 2025

Recently, a novel diabatization scheme has been proposed [Shu, Y.; Truhlar, D. G. 2020, 16, 6456-6464] using artificial neural networks. Most importantly, the method almost exclusively requires the knowledge of adiabatic energies, which are routinel... read more

Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images.

IEEE transactions on medical imaging Jul 15, 2025

Lumbar disc degeneration, a progressive structural wear and tear of lumbar intervertebral disc, is regarded as an essential role on low back pain, a significant global health concern. Automated lumbar spine geometry reconstruction from MR images will... read more

Predictive estimations of health systems resilience using machine learning.

BMC medical informatics and decision making Jul 15, 2025

Operationalizing resilience in public health systems is critical for enhancing adaptive capacity during crises. This study presents a Machine Learning (ML) -based approach to assess resilience of the health system. Using historical data from Brazilia... read more

Humans Machine Learning Delivery of Health Care Brazil

Artificial Intelligence Medical Compendium