Artificial Intelligence Medical Compendium

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

Showing 56,731 to 56,740 of 227,153 articles

Interpretable prediction of prolonged length of stay for patients undergoing lumbar disc herniation surgery based on machine learning and SHAP.

BMC health services research Jan 30, 2026
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Machine learning-based screening of sarcopenia in elderly women using non-invasive physiological signals.

BMC medical informatics and decision making Jan 30, 2026
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Characterizing the Immune Cell Infiltration in Renal Interstitium and Therapeutic Targets of Drugs in Diabetic Nephropathy by Multiomics Study.

Diabetes & metabolism journal Jan 30, 2026
BACKGROUND: Immune cell infiltration in the renal interstitium contributes to the progression of diabetic nephropathy (DN), yet the precise mechanisms remain incompletely unclear. METHODS: Public multi-omics datasets were integrated for comprehensive... read more 

A unified framework for pre-screening and screening tools in oncology clinical trials.

NPJ precision oncology Jan 30, 2026
Clinical trial enrollment in oncology remains limited by increasingly complex eligibility criteria, biomarker stratification, and fragmented clinical data, contributing to prolonged recruitment timelines and low participation rates. This review exami... read more 

Comparison of the predictive performance of machine learning and conventional logistic regression models for poor discharge outcomes in patients with Aneurysmal subarachnoid hemorrhage: A retrospective cohort study.

Neurosurgical review Jan 30, 2026
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Circulating tumor DNA dynamics predict pathological response and guide therapy personalization in the neoadjuvant setting.

Discover oncology Jan 30, 2026
Neoadjuvant therapy is a cornerstone of modern oncology, yet its efficacy is traditionally assessed only after treatment completion, creating a "black box" period where patients may receive ineffective, toxic therapies. This review explores the trans... read more 

Development of a quantitative multiparametric ultrasound and deep learning classifier for the detection of prostate cancer.

European radiology Jan 30, 2026
OBJECTIVES: Prostate cancer (PCa) diagnosis is increasingly guided by imaging, with ultrasound (US) emerging as a cost-effective and widely accessible modality. This study develops a deep learning-based classifier predicting the presence of clinicall... read more 

Smart assistive technologies for neurodisorders: A review on AI, IoT, and wearable systems for enhanced patient care.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Jan 30, 2026
Neurological disorders of the brain and spinal cord affect millions of individuals worldwide and continue to rise in prevalence. Conditions such as Alzheimer's disease, Parkinson's disease, epilepsy, spinal cord injury, and neurodevelopmental disorde... read more 

Vigorous intermittent lifestyle physical activity (VILPA) and mortality risk among US adults: a wearables-based national cohort study.

The international journal of behavioral nutrition and physical activity Jan 30, 2026
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Prediction of Behavioral Health Employee Turnover With HR Data-Based Machine Learning Combined With Job Well-Being Indicators.

Psychiatric services (Washington, D.C.) Jan 30, 2026
OBJECTIVE: Identifying employees at risk for turnover is critical to supporting staff retention in community behavioral health organizations (CBHOs). The authors propose a method that uses machine-learning (ML) models trained with historical human re... read more 
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