Artificial Intelligence Medical Compendium

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

Showing 50,741 to 50,750 of 225,062 articles

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 

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 

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 

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 

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 

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 

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 

Identification and validation of mitochondrial metabolism-ralated biomarkers in coronary heart disease.

Medicine Feb 13, 2026
Coronary heart disease (CHD) affects life quality of patients by impaired coronary artery blood supply. We were planning to study the molecular mechanisms of mitochondrial metabolism-related genes (MMRGs) in CHD. The following data were sourced from ... read more 

A Scoping Review of Machine Learning Approaches for Predicting Lower Extremity Joint Contact Loads: Current Trends, Common Pitfalls and Future Directions.

IEEE transactions on bio-medical engineering Feb 13, 2026
Human gait analysis quantifies locomotion and assesses gait performance, particularly for patients with musculoskeletal disorders. While instrumented 3D gait analysis is the gold standard, advancements in physics based musculoskeletal modeling offer ... read more 

DeepGSR: Deep group-based sparse representation network for solving image inverse problems.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 13, 2026
In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driven interpretability with nonlocal self-similarity priors. Nevertheless, its practical utility is hin... read more 
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