Artificial Intelligence Medical Compendium

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

Showing 38,441 to 38,450 of 223,469 articles

Characterizing heterogeneity and subphenotyping acute respiratory distress syndrome with computed tomography.

Intensive care medicine experimental
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome rather than a single disease. Patients who meet the same diagnostic criteria may differ in lung morphology, mechanical properties, biological injury, and clinical course.... read more 

Effect of SnapShot Freeze 2 on Reducing Pulsation Artifacts in Coronary Artery Imaging of Patients With High Heart Rates.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND This study aimed to evaluate the effect of SnapShot Freeze 2 (SSF2) on reducing pulsation artifacts in coronary artery imaging of patients with high heart rates, compared with SnapShot Freeze (SSF) and not using SSF (no-SSF). MATERIAL AND ... read more 

Charting the Evolution of Personalized Nutrition: A Comprehensive Bibliometric Survey of Global Research Landscapes and Future Trajectories.

Nutrition research reviews
Personalized nutrition has emerged as a revolutionary paradigm in nutritional science, shifting from traditional "one-size-fits-all" approaches to tailored dietary recommendations. We conducted a comprehensive bibliometric analysis through a systemat... read more 

From Digital Data to Psychological Insights: Making Sense of Mobile-Sensing Data through Integrative Preprocessing Pipelines.

Psychometrika
Psychological research has long centered around questionnaire assessments, but now digital devices, especially smartphones, enable the collection of real-world behavioral data through mobile sensing. While this data collection method offers unique op... read more 

Digitally Assessed Nucleolar Size Compared to Traditional Pathologist WHO Grade Allocation in Clear Cell Renal Cell Carcinoma.

International journal of surgical pathology
Traditional WHO grading for renal cell carcinoma (RCC), largely based on nucleolar prominence, has well-known intraobserver and interobserver variability. In the era of digital pathology, quantitative guidelines may be more accurate and reproducible.... read more 

3D ADHD-Net and DeepTrace: Decoding ADHD from EEG with neurophysiological insights.

Applied neuropsychology. Child
EEG-based ADHD diagnosis models suffer from two persistent issues: data leakage and the lack of physiologically grounded interpretability, limiting clinical adoption. To address these, this paper presents 3D ADHD-Net and DeepTrace. Unlike established... read more 

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification.

Arthritis & rheumatology (Hoboken, N.J.)
OBJECTIVES: Proteome-wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. METHODS: Lupus patients and individuals with other autoimmune diseases in the UK Biobank were in... read more