AI Medical Compendium

Investigation of Concordance between Artificial Intelligence and Manual Measurements of the Cardiac Parameters in Cardiac Magnetic Resonance Imaging.

Journal of imaging informatics in medicine May 21, 2026

BACKGROUND: Commercial artificial intelligence (AI) software for cardiac magnetic resonance (CMR) analysis has shown promising internal validation results, but independent external validation in distinct clinical settings remains limited. This study ... read more

Integrating machine learning and structural analysis to decipher benzo[a]pyrene-induced bladder cancer networks.

Discover oncology May 21, 2026

Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon from tobacco smoke, exhaust, and pollutants, is linked to bladder cancer (BLCA). We systematically analyzed GEO datasets to identify BaP-related differentially expressed genes (DEBRGs). By integ... read more

Transcriptome graph transformer: a graph transformer-based unsupervised model for transcriptome data analysis.

BMC bioinformatics May 21, 2026

BACKGROUND: Rapidly growing transcriptomic datasets pose challenges for traditional analytical methods, which struggle with high dimensionality, heterogeneity, and nonlinear gene relationships. Existing deep learning models often require fixed-length... read more

Integrative multi-omics analysis reveals host-microbiome metabolic alterations and candidate biomarkers in Parkinson's disease.

BMC microbiology May 21, 2026

Alterations in the gut microbiome have been increasingly implicated in Parkinson's disease (PD), but the associated metabolic changes remain incompletely understood. Here, we applied an integrative multi-omics approach combining shotgun metagenomic s... read more

U-CBAMNet: an attention-guided deep learning model for accurate and explainable prediction of HER2 expression from breast ultrasound cine videos.

BMC medical imaging May 21, 2026

BACKGROUND: Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is essential for guiding targeted therapy in breast cancer. Conventional immunohistochemistry and fluorescence in situ hybridization remain the diagnostic s... read more

Machine learning prediction of surgical approach and clinical heterogeneity in cervical spondylotic myelopathy.

BMC musculoskeletal disorders May 21, 2026

BACKGROUND: Preoperative planning of the surgical approach for cervical spondylotic myelopathy (CSM) is central to precision medicine. This study used supervised machine learning (SML) to build a predictive model for surgical approach selection in CS... read more

DeepSeek vs ChatGPT vs Claude: benchmarking large language models for clinical diagnosis using a novel ICD-10-CM-based evaluation framework.

BMC medical informatics and decision making May 21, 2026

BACKGROUND: Large language models have shown potential for supporting clinical reasoning, but their performance in open-ended diagnostic tasks remains insufficiently evaluated using clinically grounded and reproducible criteria. Many prior studies ha... read more

Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.

BioData mining May 21, 2026

Cancer is a heterogeneous disease, with numerous subtypes differing in molecular profiles, risk factors, clinical outcomes, and tumor locations. Lung cancer, the third most diagnosed cancer in the United States, is driven by a complex combination of ... read more

Integrating ChatGPT into nursing education: a randomized trial exploring knowledge, retention, and student perspectives on endotracheal suctioning.

BMC medical education May 21, 2026

AIM: This study aimed to evaluate the preliminary effectiveness of a ChatGPT-integrated educational session on nursing students' knowledge acquisition and retention regarding endotracheal suctioning, and to explore their perspectives and learning exp... read more

Single-cell N4-acetylcytidine regulatory landscape identifies ARIH1 as a ferroptosis-suppressive oncogenic driver in lung adenocarcinoma.

Respiratory research May 21, 2026

BACKGROUND: N4-acetylcytidine (ac4C) is an emerging post-transcriptional RNA modification implicated in cancer biology, yet its cellular distribution, prognostic value, and functional relevance in lung adenocarcinoma (LUAD) remain insufficiently char... read more

Artificial Intelligence Medical Compendium