Artificial Intelligence Medical Compendium

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

Showing 36,361 to 36,370 of 223,137 articles

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking

arXiv Apr 2, 2026
Long-tailed classification, where a small number of frequent classes dominate many rare ones, remains challenging because models systematically favor frequent classes at inference time. Existing post-hoc methods such as logit adjustment address this ... read more 
Machine Learning

Development and Temporal Evaluation of Multimodal Machine Learning Models to Predict High Inpatient Opioid Exposure

medRxiv Apr 2, 2026
High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early identification of high-risk patients may improve opioid stewardship. We developed machine learning models to predict high opioid exposure during hospital... read more 
health informatics

A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid Carcinoma

medRxiv Apr 2, 2026
Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains challenging, particularly in clinically node-negative (cN0) patients, leading to potential overtreatment. We aimed to develop and... read more 
oncology

Prognostic value of artificial intelligence-derived echocardiographic measurements in transthyretin cardiomyopathy

medRxiv Apr 2, 2026
Background: Transthyretin cardiomyopathy (ATTR-CM) is a progressive, potentially fatal disease requiring accurate risk stratification. Echocardiography is the first-line imaging modality, with AI-based tools increasingly applied for automated analysi... read more 
cardiovascular medicine

Predicting COVID-19 incidence from seroprevalence and population-based cohort data using interpretable machine learning with differential privacy analysis

medRxiv Apr 2, 2026
During the COVID-19 pandemic, reported incidence data played a central role in public health surveillance and in tracking epidemic dynamics, although they provide limited insight into the behavioral, immunological, and socioeconomic drivers of transm... read more 
epidemiology

Development and validation of an XGBoost model with SHAP-based interpretability and a web-based calculator for predicting extrauterine growth restriction in preterm infants

medRxiv Apr 2, 2026
Background: Extrauterine growth restriction (EUGR) is a common and clinically significant complication among preterm infants, contributing to adverse neurodevelopmental and metabolic outcomes. Early and individualized risk prediction remains challeng... read more 
pediatrics

Developmental brain age gap in prematurity and postnatally emerging delay in congenital heart disease

medRxiv Apr 2, 2026
Brain development follows a precisely regulated biological timetable, with defined periods of vulnerability increasingly recognized in congenital disorders affecting early brain development. This biological timing can be captured by the emerging conc... read more 
pediatrics

Counterfactual prediction of treatment effects on irregular clinical data using Time-Aware G-Transformers

medRxiv Apr 2, 2026
Selecting an effective treatment relies on accurately anticipating patient's response to alternative interventions. However, forecasting longitudinal clinical trajectories remains difficult because electronic health records contain heterogeneous, irr... read more 
health informatics

Integrated bioinformatics reveals tubulointerstitial immune microenvironment signatures and machine learning-driven prognostication of clinical treatment response in lupus nephritis.

Autoimmunity Apr 2, 2026
Lupus nephritis (LN) represents the most severe renal manifestation of systemic lupus erythematosus (SLE), contributing to significant morbidity. While current assessments focus on glomerular pathology, tubulointerstitial lesions may offer critical i... read more 

MARSNet: A convolutional attention residual shrinkage network for RNA-protein binding site prediction.

Neural networks : the official journal of the International Neural Network Society Apr 2, 2026
RNA-binding proteins (RBPs) regulate post-transcriptional gene expression by recognizing specific RNA elements, making accurate identification of RBP binding sites essential for understanding gene regulation and disease mechanisms. However, experimen... read more 
Popular Topics
Recent Journals