Artificial Intelligence Medical Compendium

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

Showing 9,861 to 9,870 of 208,614 articles

What Are Computer-Assisted Methods Achieving in Fine-Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta-Analysis.

Cytopathology : official journal of the British Society for Clinical Cytology May 26, 2026
OBJECTIVE: Pancreatic malignancies present major diagnostic challenges. The gold standard for diagnosis is endoscopic ultrasound-guided fine-needle aspiration (FNA) with cytopathological assessment. Workforce shortages have driven interest in compute... read more 

Predictive modeling and network analysis uncover novel regulators of multi-stress tolerance in Saccharomyces cerevisiae.

BMC microbiology May 26, 2026
BACKGROUND: Understanding molecular responses to multi-stress conditions in Saccharomyces cerevisiae is crucial for optimizing industrial strains and enhancing stress tolerance. This study uses machine learning and data mining approaches to unravel t... read more 

CWAGS: multi-trait genomic selection using channel weighted attention convolutional network.

BMC genomics May 26, 2026
BACKGROUND: Genomic selection serves as an effective approach to accelerate the improvement of agronomic traits in crops. However, as a core technique in modern crop breeding, genomic selection still faces many challenges in capturing complex interac... read more 

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

Molecular medicine (Cambridge, Mass.) May 26, 2026
BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Although enteric infections (EI) have been effectively controlled through public health interventions, t... read more 

Comparison of systolic and diastolic CT-FFR for myocardial ischemia diagnosis.

BMC medical imaging May 26, 2026
BACKGROUND: CT-derived fractional flow reserve (CT-FFR) is a powerful tool for identifying hemodynamic ischemia. Coronary CT angiography (CCTA) images with the best quality in a cardiac cycle are conventionally reconstructed in clinical practice. To ... read more 

Decoding lactylation heterogeneity in glioblastoma: machine learning identifies G6PC3 as a prognostic target.

BMC cancer May 26, 2026
BACKGROUND: Glioblastoma (GBM) is the most common malignant glioma in adults. It has an extremely poor prognosis, highlighting an urgent need for new therapeutic strategies to improve patient survival. Lactylation is a novel post-translational modifi... read more 

Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model.

BMC medical imaging May 26, 2026
BACKGROUND: Concurrent chemoradiotherapy (CCRT) was highly effective in treating cervical cancer (CC) but raised the risk of bone marrow suppression. However, models to predict the risk of myelosuppression in CC patients after CCRT based on computed ... read more 

Multi-dimensional risk prediction and genetic architecture of aspiration pneumonia: a population-based analysis.

BMC infectious diseases May 26, 2026
BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with neurological comorbidities. Current risk stratification tools rely on single-dimensional clinical d... read more 

Vaccination attitudes and intentions reported by Canadian children and their parents in the CHILD Cohort Study during the COVID-19 pandemic.

BMC public health May 26, 2026
BACKGROUND: Understanding if and how vaccination attitudes are shared among family members can help inform strategies to increase uptake. We assessed the correlation of self-reported COVID-19 vaccination attitudes and uptake among Canadian children a... read more 

Exploring the value of peritumoral brain zone for classification of two malignant brain tumors based on the MRI interpretable models.

BMC medical imaging May 26, 2026
OBJECTIVES: This study aims to develop and validate a novel multimodal interpretable artificial intelligence model capable of fusing radiomics features and imaging features to accurately classify primary central nervous system lymphoma (PCNSL) and gl... read more 
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