Artificial Intelligence Medical Compendium

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

Showing 50,451 to 50,460 of 224,814 articles

Impact of multimodal education management on postoperative rehabilitation after total knee arthroplasty: A machine learning-based prediction model study.

Medicine Feb 13, 2026
This study aimed to evaluate the impact of multimodal education management using illustrated pathway with video education (IPVE) on rehabilitation quality after total knee arthroplasty. A retrospective cohort study design was adopted. Patients were g... read more 

Machine learning and bioinformatics-based identification of mitophagy-related diagnostic biomarkers in bronchiolitis obliterans.

Medicine Feb 13, 2026
This study aimed to explore the molecular mechanisms associated with mitophagy in BO and identified mitophagy-associated BO diagnostic genes. Using Gene Expression Omnibus database data, differentially expressed genes in BO patients vs controls were ... read more 

Potential mechanisms of Si-Wu-Tang against esophageal squamous cell carcinoma: A machine learning pharmacological study.

Medicine Feb 13, 2026
The purpose of this study is to explore the potential mechanism of Si-Wu-Tang (SWT) against esophageal squamous cell carcinoma (ESCC). Initially, 18 active molecules and 96 related targets of SWT obtained from publicly accessible databases. Through G... read more 

Identification of VEGFB associated with NKT cells in diabetic foot ulcers: Single-cell analysis and machine learning.

Medicine Feb 13, 2026
The management options for diabetic foot are restricted, and the outlook is unfavorable. Immune cells have been implicated in diabetic foot ulcer (DFU), but the exact role of natural killer T (NKT) cells in DFU remains unclear. Vascular endothelial g... read more 

Interpretable four-factor day-1 nomogram for predicting sepsis-associated encephalopathy in septic ICU patients with AKI: Development and internal validation in MIMIC-IV.

Medicine Feb 13, 2026
Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse short- and long-term outcomes. To enable real-time bedside use and multicenter deployment, we aimed to develop a parsimonious, transparent day-1 pred... read more 

Decoding lactylation in neuropathic pain: Immune cell infiltration patterns and machine learning-identified candidate biomarkers.

Medicine Feb 13, 2026
This study aimed to identify lactylation-associated genes linked to immune infiltration and diagnostic potential in neuropathic pain using integrated bioinformatic and machine learning approaches. Two microarray datasets (GSE124272 and GSE150408) com... read more 

Medical students' mental health, quality of life, motivation, and learning approaches before, during and after COVID-19: findings from a 4-wave repeated cross-sectional survey.

Psychology, health & medicine Feb 13, 2026
This study examined changes in mental health, quality of life, academic motivation, and learning approaches before, during, and after the COVID-19, pandemic. The secondary objectives included identifying factors associated with these outcomes and inv... read more 

Patients Are Generally Supportive of Artificial Intelligence in Breast Imaging: A Multisite Survey of Breast Imaging Patients.

Journal of breast imaging Feb 13, 2026
OBJECTIVE: To understand the perspective of patients undergoing breast imaging on the use of artificial intelligence (AI) in breast cancer screening. METHODS: A 36-item survey was administered to breast imaging patients at 6 academic and 2 private pr... read more 

Radiomics analysis of MRI improves prediction of lymph node metastasis in laryngeal squamous cell carcinoma.

Future oncology (London, England) Feb 13, 2026
OBJECTIVE: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preoperative prediction of lymph node metastasis in laryngeal squamous cell carcinoma (LSCC). METHODS: Patients with LSCC undergoing open surgery and lymph no... read more 

Automatic Detection of Subcellular-Scale Metabolic Dynamics via Spontaneous-Stimulated Raman Spatial Colocalization.

Analytical chemistry Feb 13, 2026
Cellular structural heterogeneity and low intrinsic contrast in label-free bright-field imaging hinder accurate localization of subcellular structures in nearly transparent specimens, thereby compromising both the precision and reproducibility of spo... read more 
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