Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 23,381 to 23,390 of 217,176 articles

Climate and socioeconomic factors drive heterogeneous dengue risk escalation in the Chinese population.

Communications medicine
BACKGROUND: Dengue risk is increasingly shaped by climate change and rapid urbanization, yet comprehensive, multidimensional risk assessments grounded in a One Health perspective remain scare. METHODS: We develop a geographically eXplainable artifici... read more 

A human-centered framework for data-driven anthropometric sizing: design and validation in a military context.

Ergonomics
Traditional anthropometric methods for personalising equipment in high-stakes professions are often costly, time-consuming, and lack scalability. This study proposes and validates a low-cost, human-centered framework that integrates machine learning ... read more 

Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.

Discover oncology
Ovarian cancer (OC) remains a malignancy characterized by obscure risk factors and unfavorable prognosis. While 3-tert-butyl-4-hydroxyanisole (3-BHA) is suspected of exerting toxic effects on ovarian health, the precise molecular mechanisms underlyin... read more 

Practical guidance for echocardiography for cancer therapy-related cardiac dysfunction: 2026 focused update.

Journal of echocardiography
BACKGROUND: Cancer therapy-related cardiac dysfunction (CTRCD) has become an important clinical issue with advances in cancer treatment and improved patient survival. The Japanese Society of Echocardiography previously published practice guidance in ... read more 

Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods.

Environmental science and pollution research international
Air pollution is one of the important environmental and public health hazards that requires a combination of assessments, monitoring, and mitigation approaches. The current review is an attempt to review the tools for monitoring and modeling air poll... read more 

AI and the digital pathology revolution: clinical applications in cancer diagnosis and assessment.

Expert review of molecular diagnostics
INTRODUCTION: Hematoxylin & Eosin (H&E) stained slides are the gold standard for cancer diagnosis but are subject to labor-intensive review and inter-observer variability. Whole-slide imaging (WSI) and digital pathology are reshaping this landscape, ... read more 

Comprehensive Multi-Omics Profiling of Tertiary Lymphoid Structures Reveals Immunogenetic Landscapes and Prognostic Subtypes in Lung Adenocarcinoma.

Molecular carcinogenesis
Tertiary lymphoid structures (TLSs) are key components of the tumor immune microenvironment and show prognostic relevance in many cancers. However, their genetic association with lung adenocarcinoma (LUAD) is still lacking. This study aims to constru... read more 

Factorization machine with quadratic-optimization annealing for RNA inverse folding and evaluation of binary-integer encoding and nucleotide assignment.

Scientific reports
The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a given target secondary structure. While various heuristic and machine learning-based approaches have been proposed, many require a large number of seque... read more 

A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data.

Scientific reports
The fatality due to breast cancer is one of the most universal causes among women worldwide. The limited interpretation is due to tissue overlapping, high breast density and delicate lesion characteristics even though mammography is the standard scre... read more 

Reliability and readability of five AI chatbots for concussion health advice across retrieval augmented and pretrained models.

Scientific reports
Generative AI is rapidly entering patient education workflows, yet its safety profile for concussion management remains undefined. Utilizing the CHART framework, this cross-sectional audit assessed five platforms, specifically isolating retrieval-aug... read more