Artificial Intelligence Medical Compendium

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

Showing 61,321 to 61,330 of 229,091 articles

Accuracy of Artificial Intelligence-Based Models versus Traditional Scoring Systems (APACHE, SOFA, SAPS) for Predicting Mortality in ICU Patients: A Systematic Review and Meta-Analysis

medRxiv Jan 19, 2026
Introduction: Reliable estimation of mortality among critically ill patients is crucial for guiding clinical decisions and optimizing ICU performance. Traditional scoring systems such as APACHE, SOFA, and SAPS are commonly applied, though their predi... read more 
intensive care and critical care medicine

Using Artificial Intelligence to Assess Treatment-Effect Heterogeneity in Pragmatic Cardiovascular Trials: Insights from TRANSFORM-HF

medRxiv Jan 19, 2026
Background and Aims: Pragmatic clinical trials are designed to assess interventions in real-world settings, and their broad inclusion criteria and clinical variability create valuable opportunities for exploring heterogeneity of treatment effects. In... read more 
cardiovascular medicine

GEOGRAPHIC DOMAIN SHIFT PRECIPITATES DIVERGENT FAILURE MODES IN DEEP LEARNING BASED TUBERCULOSIS SCREENING: A MULTI-NATIONAL EXTERNAL VALIDATION STUDY

medRxiv Jan 19, 2026
Background: Deep learning algorithms for tuberculosis (TB) screening frequently achieve radiologist-level performance during internal evaluation, yet their reliability often degrades when deployed to populations differing from the training domain. Su... read more 
respiratory medicine

Pharmacogenomic Determinants of Post-Liver Transplant Diabetes Mellitus: A Systematic Review and In Silico Pharmacogenomic Analysis

medRxiv Jan 19, 2026
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index and pharmacokinetic variability are associated with increased risk of post-transplant diabetes mellitus (PTDM). While polymorphisms in metabolizing en... read more 
endocrinology

Leveraging NLP to Identify Domain-Specific Variables in Large-Scale Cohort Metadata: A Sleep Use Case

medRxiv Jan 19, 2026
Public health policies increasingly rely on the use of complex and large datasets containing heterogeneous, multimodal data that require advanced analytical methods to extract meaningful insights and support evidence-based decision-making. Essential ... read more 
health informatics

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers.

Physiological measurement Jan 19, 2026
Objective.Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due to the potential for poor outcomes with delayed treatment. Treatment for LVO involves highly specialized care, in particular endovascular thrombectomy, ... read more 
Humans Machine Learning Biomarkers Female Aged Aged, 80 and over Male Middle Aged Photoplethysmography Triage Stroke

Validation of uPath HER2 dual-colour dual in-situ hybridisation image analysis tool for HER2/neu testing in breast cancer.

Journal of clinical pathology Jan 19, 2026
AIMS: HER2/neu gene is amplified in 15%-20% of invasive breast cancers (IBCs), serving as critical prognostic and predictive marker. HER2-targeted therapies have improved outcomes for HER2-positive patients, highlighting the importance of accurate as... read more 
Humans Algorithms Retrospective Studies Female Reproducibility of Results Aged Breast Neoplasms Biomarkers, Tumor Middle Aged Image Processing, Computer-Assisted Predictive Value of Tests In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Observer Variation In Situ Hybridization Erb-b2 Receptor Tyrosine Kinases

Avocado ripeness classification using handheld Raman spectroscopy: addressing data imbalance with machine learning and resampling techniques.

Food chemistry Jan 18, 2026
Food waste is a global concern, partially caused by destructive testing and inaccurate visual inspections that misclassify quality. This study developed a machine learning-assisted handheld Raman spectroscopy for non-destructive classification of avo... read more 

Controlling gene expression using AI designed Cis-regulatory elements.

Biotechnology advances Jan 18, 2026
Cis-regulatory elements (CREs) play a crucial role in regulating gene expression by controlling transcription, making the understanding and design of these elements essential for the advancement of biology. Traditional approaches often rely on empiri... read more 

Machine learning based prediction of mechanical properties in carbon fiber recovered through pyrolysis.

Waste management (New York, N.Y.) Jan 18, 2026
The limitations of traditional pyrolysis technologies of recovered carbon fiber included long processing time, low efficiency, and unclear links between process parameters and performance. Moreover, pyrolysis alone formed residual coke on carbon fibe... read more 
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