AI Medical Compendium

A method for magnetic resonance splenomegaly image segmentation based on large-kernel multi-scale attention mechanism.

Scientific reports Jan 14, 2026

Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.

Scientific reports Jan 14, 2026

Alfalfa (Medicago sativa L.) is a critical forage crop whose improvement depends on resolving the complex genetic architecture of agronomic traits. While genome-wide association studies (GWAS) effectively identify statistically associated markers, th... read more

Gut dysbiosis in oncology: a risk factor for immunoresistance.

Cell research Jan 14, 2026

The gut microbiome is recognized as a determinant of response to immune checkpoint inhibitor (ICI) therapies in cancer. However, the clinical translation of microbiome science has been hampered by inconsistent definitions of dysbiosis, inadequate bio... read more

Comparative study of 11 machine learning algorithms for predicting recurrence risk after atrial fibrillation catheter ablation based on a real-world cohort: a retrospective study.

BMC cardiovascular disorders Jan 14, 2026

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation being an effective yet recurrence-prone treatment. Given the limited accuracy of conventional risk scores in identifying patients at high risk of rec... read more

Prediction hospital mortality for critical illness lung cancer patients with pneumonia.

BMC infectious diseases Jan 14, 2026

Attitudes and readiness of nursing students practising in surgical units towards artificial intelligence: a cross-sectional study.

BMC medical education Jan 14, 2026

BACKGROUND: In surgical fields at the forefront of technological advancement with both virtual and physical artificial intelligence applications, nurses and nursing students should increase their positive attitudes toward artificial intelligence and ... read more

Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.

BMC oral health Jan 14, 2026

PURPOSE: To evaluate the diagnostic accuracy of artificial intelligence (AI) based on convolutional neural network (CNN) in diagnosing oral squamous cell carcinoma (OSCC), we carried out this meta-analysis. METHODS: We searched PubMed, Embase, Web of... read more

FSBLUP: a novel strategy of fusion similarity matrix construction via optimally integrating intermediate omics data to enhance genomic prediction.

Genome biology Jan 14, 2026

The increasing availability of multi-omics data is promising in enhancing genomic prediction in breeding and human genetics. However, integrating multi-omics data into genomic prediction models remains challenging due to complex relationships between... read more

A comparative study of ordinal logistic regression and machine learning models for predicting women's malnutrition in bangladesh: evidence from BDHS 2022.

Journal of health, population, and nutrition Jan 14, 2026

Malnutrition, including both undernutrition and overnutrition, remains a major public health concern in Bangladesh, particularly among women of reproductive age. This study aims to identify key determinants of women's malnutrition in Bangladesh and c... read more

Harnessing AI in prosthodontics and implant dentistry: An umbrella review of systematic evidence.

Journal of prosthodontics : official journal of the American College of Prosthodontists Jan 14, 2026

PURPOSE: To synthesize evidence from systematic reviews on artificial intelligence (AI) applications in prosthodontics and implant dentistry, focusing on clinical applications, AI model performance, and quality of evidence. METHODS: A comprehensive s... read more

Artificial Intelligence Medical Compendium