AI Medical Compendium

A clinical-radiomics model based on multiparametric MRI for discriminating solitary primary spinal tumors from solitary spinal metastases.

BMC medical imaging May 25, 2026

OBJECTIVE: To develop and validate a clinical-radiomics model based on multiparametric MRI for differentiating solitary primary spinal tumors from solitary spinal metastases. METHODS: This dual-center retrospective study included 510 patients with pa... read more

Artificial intelligence for oral cancer diagnosis: a systematic review and meta-analysis of image-based and non-imaging models.

BMC cancer May 25, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly recognized as a valuable tool for the early detection and prognosis of oral cancer, addressing the challenge of high mortality due to late diagnosis. Artificial intelligence based diagnostic mo... read more

Artificial Intelligence-based predictive models for adverse blood donor reactions: a systematic review of immediate and delayed events and clinical data approaches.

BMC medical informatics and decision making May 25, 2026

BACKGROUND: A significant challenge in blood donation is the occurrence of adverse donor reactions (ADRs) and their subsequent negative impact on the blood supply and public health. A promising strategy to mitigate these events is the deployment of n... read more

Identifying potential ligand-receptor interactions by integrating LSTM network and the attention mechanism for cell-cell communication prediction.

Journal of translational medicine May 25, 2026

BACKGROUND: Cell-cell communication (CCC) mediated by ligand-receptor (L-R) interactions is fundamental to deciphering tissue development and disease mechanisms. While single-cell RNA sequencing (scRNA-seq) has advanced this field, existing computati... read more

Predicting response to neoadjuvant chemotherapy combined with immunotherapy in gastric cancer based on habitat imaging and peritumoral radiomics: a two-center study.

Journal of translational medicine May 25, 2026

BACKGROUND: Predicting pathological response to neoadjuvant chemotherapy combined with immunotherapy (NACI) in locally advanced gastric cancer (LAGC) remains challenging. This study aimed to develop a non-invasive predictive model by integrating intr... read more

DNA demethylation of ANXA4 is associated with atrial fibrillation risk through myeloid immune mechanisms: evidence from Mendelian randomization and multi-omics analyses.

Clinical epigenetics May 25, 2026

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia affecting millions of patients globally. While epigenetic modifications play a significant role in cardiovascular diseases, their contribution to AF remains incompletely understood. Annexin ... read more

Development of a deep-learning model for classification of intensivists' extubation decisions using ventilator graphic monitor images: a prospective observational study.

Journal of intensive care May 25, 2026

BACKGROUND: Timely extubation requires advanced expertise and extensive clinical experience; however, intensive care specialists are scarce globally, and interpreting ventilator graphic monitor waveforms can be challenging for less experienced health... read more

Hallmarks of epithelial-mesenchymal plasticity in cancer.

Molecular cancer May 25, 2026

Cancer stem cells (CSCs) drive tumour initiation, progression, metastasis, and therapy resistance through their remarkable plasticity, enabling dynamic transitions between stem-like and differentiated states. A pivotal mechanism underlying this plast... read more

Artificial intelligence for urodynamic studies: systematic review of methods, performance, and clinical applications.

BMC medical informatics and decision making May 25, 2026

BACKGROUND AND OBJECTIVE: Interpretation of urodynamic studies (UDS) is essential for the assessment of lower urinary tract dysfunction but remains resource-intensive and highly operator-dependent. Artificial intelligence (AI) has increasingly been a... read more

Standardizing antiviral response metrics for mono- and combination therapies in acute, chronic and latent viral infections.

Virology journal May 25, 2026

The COVID-19 pandemic showed that heterogeneous antiviral assay designs, endpoints and reporting practices can obscure which candidate drugs and combinations are genuinely promising. As antiviral discovery expands from acute infections to chronic and... read more

Artificial Intelligence Medical Compendium