AI Medical Compendium

Diagnostic Performance of Artificial Intelligence-Assisted Echocardiography in Identifying Hypertrophic Cardiomyopathy: A Systematic Review and Meta-Analysis.

Cardiology in review Jan 16, 2026

Hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remains underdiagnosed most of the time due to overlapping echocardiographic characteristics and subjective interpretations. This systematic review and meta-analysis aimed to... read more

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

Ergonomics Jan 16, 2026

The global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims to optimise a 30-item questionnaire developed on the basis of Maslow's Hierarchy of Needs by employi... read more

The real world of Italian new-generation radiologists: challenges and career expectations.

La Radiologia medica Jan 16, 2026

PURPOSE: To assess the perceived work-life balance, sources of job dissatisfaction, and career aspirations in the new generation of residents and young radiologists. MATERIALS AND METHODS: A national survey was conducted among young members of the It... read more

A clinically translatable pathomics-based predictive model for preoperative prognostic assessment in patients with endometrial cancer.

Discover oncology Jan 16, 2026

Multi-omics Mendelian randomization and machine learning identify candidate therapeutic targets for Alzheimer's and Parkinson's diseases.

Mammalian genome : official journal of the International Mammalian Genome Society Jan 16, 2026

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are major public health challenges lacking effective therapies. To identify potential drug targets, we integrated large-scale genome-wide association ... read more

Humans Machine Learning Animals Molecular Docking Simulation Transcriptome Genome-Wide Association Study Mice Multiomics Disease Models, Animal Parkinson Disease Mendelian Randomization Analysis Alzheimer Disease Quantitative Trait Loci

Predictive analysis and performance assessment of coal bottom ash in recycled aggregate concrete under elevated temperatures.

Environmental science and pollution research international Jan 16, 2026

This study investigates the viability of utilizing coal bottom ash (BA) as a replacement for natural fine aggregate (NFA) in concrete containing recycled coarse aggregates (RCA). Although recycled materials often diminish mechanical properties, BA's ... read more

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

Ophthalmology and therapy Jan 16, 2026

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatment of neovascular age-related macular degeneration (nAMD) burden patients and healthcare systems. Faricimab may reduce this burden, but robust data a... read more

Cultural Psychology for a Technologically Transformed Society: A Neo-Structuration Perspective.

Integrative psychological & behavioral science Jan 16, 2026

This paper examines the project of cultural psychology proposed by Aaro Toomela in his recent paper (2025) through the prism of current discussions in sociology, primarily the theory of neo-structuration. This theory claims the increasing dependence ... read more

Humans Artificial Intelligence Culture Psychological Theory

Integrated machine learning and bioinformatic analyses constructed a sulfur metabolism-related breast cancer risk model and identified heat-shock protein A9 as a potential therapeutic target for human breast cancer.

Discover oncology Jan 16, 2026

Karhunen-Loève Expansion-Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation

arXiv Jan 16, 2026

Accurate segmentation of brain tumors is essential for clinical diagnosis and treatment planning. Deep learning is currently the state-of-the-art for brain tumor segmentation, yet it requires either large datasets or extensive computational resources... read more

Quantitative Methods cs.CV cs.LG eess.IV

Artificial Intelligence Medical Compendium