Artificial Intelligence Medical Compendium

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

Showing 57,041 to 57,050 of 227,153 articles

Machine learning for identifying risk factors of nosocomial infection in cancer patients with immune checkpoint inhibitor-related pneumonia.

BMC infectious diseases Jan 29, 2026
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Explainable machine learning integrating biochemical and metabolomic biomarkers with conventional clinical factors improves chronic kidney disease prediction and risk stratification.

BMC nephrology Jan 29, 2026
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Enhancing clinical training evaluation: leveraging artificial intelligence algorithms for effective online practicum assessment.

BMC medical education Jan 29, 2026
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Radiomics-based gradient boosting model on contrast-enhanced MRI for non-invasive prediction of epidermal growth factor receptor expression and therapeutic response to EGFR-targeted antibody-drug conjugates in high-grade glioma organoid models.

Journal of translational medicine Jan 29, 2026
BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblastoma (GBM) prognosis. However, non-invasive assessment of their expression remains challenging. This study aimed to determine whether radiomics feature... read more 

Performance of GPT-5, DeepSeek, and Claude in dental MCQs for medically compromised patients.

Journal of translational medicine Jan 29, 2026
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Novel mechanisms of atrazine endocrine disruption: an integrated approach reveals progesterone and glucocorticoid receptor targeting.

BMC pharmacology & toxicology Jan 29, 2026
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Pathology of peripheral neuroblastic tumors.

Diagnostic pathology Jan 29, 2026
Neuroblastoma is the most prevalent extracranial solid tumor in pediatric age populations worldwide and the most common neoplastic disease diagnosed in the first year of life. The term neuroblastoma often encompasses all peripheral neuroblastic tumor... read more 

Quantum Angle-distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis.

BioData mining Jan 29, 2026
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Identification of the biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis through bioinformatics analysis and quantitative reverse transcriptase PCR (qRT-PCR) assay.

European journal of medical research Jan 29, 2026
BACKGROUND: Sepsis constitutes a critical clinical condition characterized by organ failure and systemic inflammation, especially affecting children. Lipid metabolism and endoplasmic reticulum stress are involved in various diseases, yet their roles ... read more 

Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Jan 29, 2026
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