AI Medical Compendium

Association between neutrophil percentage to albumin ratio and mortality in takotsubo syndrome patients: analysis of the MIMIC-IV database.

BMC cardiovascular disorders May 25, 2026

BACKGROUND: This study investigates the association between the neutrophil percentage-to-albumin ratio (NPAR) and mortality in takotsubo syndrome (TS) patients. METHODS: We conducted a retrospective cohort study using data from the MIMIC-IV version 3... read more

Comparative evaluation of information quality, readability, and guideline consistency of large language model-generated educational content on hemodialysis complications: a cross-sectional assessment of generative AI-driven chatbots.

BMC nephrology May 25, 2026

BACKGROUND: Large language models are increasingly becoming a key resource for hemodialysis patients to access information on disease management. However, the information reliability, readability, and guideline concordance of LLM-generated hemodialys... read more

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BMC infectious diseases May 25, 2026

BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes have been shown to be associated with various viral infections, including influenza virus infections... read more

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

Artificial Intelligence Medical Compendium