Artificial Intelligence Medical Compendium

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

Showing 62,991 to 63,000 of 230,760 articles

Deciphering the molecular landscape of Sjögren's disease, mucosa-associated lymphoid tissue lymphoma, and thyroid cancer: unraveling the complexities of disease mechanisms and diagnostic biomarkers.

Clinical rheumatology Jan 18, 2026
BACKGROUND: Sjögren's disease (SjD), mucosa-associated lymphoid tissue lymphoma (MALT lymphoma), and thyroid cancer (THCA) are clinically distinct yet immunologically intertwined diseases characterized by chronic inflammation and aberrant immune acti... read more 

Continuous Glucose Monitoring-Based Machine Learning Identification of Diurnal Glycemic Patterns and Diabetes Distress in Type 2 Diabetes.

Journal of diabetes science and technology Jan 18, 2026
BACKGROUND: To identify diurnal glycemic patterns in adults with type 2 diabetes (T2D) using continuous glucose monitoring (CGM)-based machine learning and examine their association with diabetes distress, a key psychosocial outcome. METHODS: In this... read more 

Efficacy of an AI-Enabled Low Glucose Prediction: A Pooled Performance Analysis With Capillary Blood Glucose as Ground Truth.

Journal of diabetes science and technology Jan 18, 2026
BACKGROUND: Hypoglycemia is a critical challenge for insulin-dependent people with diabetes using multiple daily injections (MDI), who rely on reactive responses to continuous glucose monitoring (CGM) alerts. To meet the need for a proactive safety t... read more 

Machine learning integrating MRI and clinical features predicts early recurrence of hepatocellular carcinoma after resection.

Scientific reports Jan 18, 2026
This study aims to construct a robust artificial intelligence (AI) model to predict early recurrence of hepatocellular carcinoma (HCC) following surgical resection, leveraging clinical blood biomarkers, pathological parameters, and MRI-derived featur... read more 

Intelligent recognition of students' behavior for smart learning environments.

Scientific reports Jan 18, 2026
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Research on deep learning architecture optimization method for intelligent scheduling of structural space.

Scientific reports Jan 18, 2026
Deep neural networks have demonstrated impressive performance across various fields such as computer vision, natural language processing, and autonomous systems. However, their static architectural configurations often result in computational ineffic... read more 

Exploring students' emotion recognition and teachers' teaching feedback in college foreign language classroom based on AFCNN model.

Scientific reports Jan 18, 2026
Currently, the development of deep learning (DL) technology provides new avenues for educational sentiment analysis. Building on this, this study introduces an Attention Feature Convolutional Neural Network (AFCNN) model for sentiment recognition in ... read more 

ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions.

Annals of surgical oncology Jan 18, 2026
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ASO Author Reflections: Multimodal Deep Learning Redefining Precision Prognosis in Prostate Cancer.

Annals of surgical oncology Jan 18, 2026
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Identifying the state of cerebrovascular autoregulation using the pressure reactivity index versus the mean flow index: Why metric matters.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Jan 18, 2026
Cerebral autoregulation maintains stable cerebral blood flow despite fluctuations in cerebral perfusion pressure (CPP), through mechanisms that alter vascular diameter and resistance. Two commonly used indices, pressure reactivity index and mean flow... read more 
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