Artificial Intelligence Medical Compendium

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

Showing 23,041 to 23,050 of 216,842 articles

Imaging Biomarkers for Early Differentiation of Candida and Aspergillus Endogenous Fungal Endophthalmitis: Multicenter Optical Coherence Tomography-Based Analysis.

American journal of ophthalmology
PURPOSE: Endogenous fungal endophthalmitis (EFE) is a rare, sight-threatening intraocular infection with heterogeneous clinical presentations. Candida and Aspergillus species are the most common etiologic agents and may manifest with retinochoroiditi... read more 

Development of a four-gene host signature for paucibacillary TB among symptomatic individuals with sputum Xpert MTB/RIF Ultra very low and trace results.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
OBJECTIVES: The Xpert MTB/RIF Ultra (Ultra) assay is widely used to diagnose pulmonary tuberculosis (TB), but "very low" or "trace" results may reflect either paucibacillary TB or TB-negative disease, complicating clinical decision-making. We evaluat... read more 

Explainable artificial intelligence in endodontics: Concepts, clinical applications, and future directions.

Journal of dentistry
OBJECTIVES: An inherent `black box` nature of artificial intelligence (AI) remains a significant barrier to clinical adoption. Explainable artificial intelligence (XAI) has emerged as an approach to enhance transparency and interpretability. This nar... read more 

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