Artificial Intelligence Medical Compendium

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

Showing 51,921 to 51,930 of 225,279 articles

Predicting renal-cell carcinoma recurrence after partial nephrectomy: a CT-radiomics approach.

International urology and nephrology Feb 10, 2026
BACKGROUND: About 30-40% of patients with renal-cell carcinoma experience recurrence within 5 years after partial nephrectomy despite current prognostic scoring systems. Radiomic analysis of preoperative CT images has the potential to offer improved ... read more 

Machine learning-based radiopathomics ensemble model for predicting multiple molecular subtypes of adult diffuse glioma: a multicenter retrospective study.

BMC cancer Feb 10, 2026
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An interpretable machine learning approach using nnU-Net-based radiomics for preoperative risk stratification of thymic epithelial tumors: a multicenter study.

BMC medical imaging Feb 10, 2026
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Development of machine learning prediction models for postoperative outcomes in adult male circumcision.

BMC urology Feb 10, 2026
BACKGROUND: Male circumcision is among the most commonly performed and clinically endorsed surgical procedures globally, deeply rooted in medical, cultural, and religious traditions. While circumcision confers well-documented health benefits such as ... read more 

Evaluation of large Language models on pediatric asthma: a comparative study of Claude3-Opus, Gemini 2.0, ChatGPT-4o, and DeepSeek-a cross-sectional questionnaire study.

BMC medical informatics and decision making Feb 10, 2026
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Automated deep learning pipeline for measuring lumbar thecal sac AP diameter on mid-sagittal MR images.

BMC medical imaging Feb 10, 2026
OBJECTIVE: To develop and validate an automated, disc-level deep learning pipeline for quantitative measurement of anteroposterior (AP) thecal sac diameter on mid-sagittal lumbar T2-weighted MRI. MATERIALS AND METHODS: In this retrospective study, 51... read more 

Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS.

Lipids in health and disease Feb 10, 2026
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A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression.

Cancer cell international Feb 10, 2026
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor clinical outcomes. Accumulated evidence has demonstrated lactylation plays a vital role in the metabolic reprogramming. However the mechanisms underl... read more 

Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record data.

BMC psychiatry Feb 10, 2026
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Sjögren's syndrome-focusassist: lymphocytic focus assessment in Sjögren's syndrome: a deep learning and spatial analysis approach.

Diagnostic pathology Feb 10, 2026
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