Artificial Intelligence Medical Compendium

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

Showing 24,501 to 24,510 of 217,425 articles

Non-Invasive Arterial Blood Pressure Waveform Generation in Critically Ill Patients: A Sensor-Based Deep Learning Approach

medRxiv Apr 29, 2026
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive arterial catheterization, which carries risks of thrombosis, vascular injury and infection. Here, we train and validate a computational model for cont... read more 
intensive care and critical care medicine

Artificial Intelligence for Cardiac Biomarkers After Myocardial Infarction: A Systematic Review and a Leakage-Aware Modeling Framework

medRxiv Apr 29, 2026
Aims To systematically evaluate how artificial intelligence and machine-learning (AI/ML) methods are applied to cardiac biomarkers after myocardial infarction (MI), identify recurring methodological limitations, and operationalize a leakage-aware mod... read more 
cardiovascular medicine

A Sequential Multiple Assignment Randomized Trial Design with Response-Adaptive Tailoring Function

medRxiv Apr 29, 2026
We present a novel sequential multiple assignment randomized trial (SMART) design that integrates response-adaptive randomization with tailoring functions (RA-TF-SMART). We develop percentile-based and Z-score RA-TFs that incorporate both within-pati... read more 
oncology

Electrocardiogram-based deep learning enables scalable screening of transthyretin amyloid cardiomyopathy

medRxiv Apr 29, 2026
Transthyretin amyloid cardiomyopathy (ATTR -CM) is a treatable but underrecognized cause of heart failure, with diagnosis often delayed until advanced disease manifests. This gap is amplified in underserved populations at increased risk for ATTR -CM ... read more 
cardiovascular medicine

Unsupervised learning of multiscale switching dynamical system models from multimodal neural data.

Journal of neural engineering Apr 29, 2026
Objective. Neural population activity often exhibits regime-dependent non-stationarity in the form of switching dynamics. Learning accurate switching dynamical system models can reveal how behavior is encoded in neural activity. Existing switching ap... read more 

Improving Nurses' Management of Uterine Tachysystole.

MCN. The American journal of maternal child nursing Apr 29, 2026
PURPOSE: To evaluate the incidence of uterine tachysystole and determine if nurses' management of tachysystole using an artificial intelligence-enabled clinical decision support (cEFM-aiCDS) alert system alone and in combination with an education mod... read more 

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering.

European heart journal. Digital health Apr 29, 2026
AIMS: Electrocardiogram (ECG) recordings are fundamental for diagnosing cardiac conditions. Recent advances in automatic ECG analysis have been dominated by deep learning, particularly convolutional neural networks (CNNs). CNNs excel in processing hi... read more 

Systems of Care in Cardiogenic Shock: Team-Based Management, Shock Networks, and Post Discharge Pathways.

Interventional cardiology clinics Apr 29, 2026
Cardiogenic shock (CS) remains the leading cause of mortality in modern cardiac intensive care unit, most often precipitated by acute or chronically decompensated heart failure or acute myocardial infarction. Despite technologic advances, timely reco... read more 

Hybrid learning/numerical framework for fast and robust electric field simulation in irreversible electroporation.

Computer methods and programs in biomedicine Apr 29, 2026
OBJECTIVE: Irreversible electroporation (IRE) represents a promising non-thermal ablation modality for the treatment of deep-seated tumors. However, its clinical efficacy is critically dependent on the accurate, patient-specific distribution of the e... read more 

A multimodal EMG and IMU dataset for assessing the quality of exercises designed for spatially constrained environments.

Data in brief Apr 29, 2026
Regular physical training is essential for maintaining physical fitness in environments where exercise must be performed in limited space and without direct professional supervision. In such settings, degraded exercise execution may reduce training e... read more 
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