Artificial Intelligence Medical Compendium

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

Showing 13,841 to 13,850 of 211,462 articles

Random Forest Model for the Prediction of Herbal-Induced Liver Injury: Application to Molecules from the West African Pharmacopoeia.

Studies in health technology and informatics May 21, 2026
Herbal medicines play a crucial role in primary healthcare across West Africa, yet their potential for liver toxicity remains poorly documented. Predicting herbal-induced liver injury is therefore essential to ensure the safe use of traditional remed... read more 

AI-Based Prediction of Clinical Deterioration in Hospitalised Cardiac Patients.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: The rules based Between the Flags (BTF) system has been the mainstay of early warning of clinical deterioration in public hospitals in New South Wales, Australia. METHODS: A retrospective observational study compared BTF with an artific... read more 

What Is My Data Capable of? Using Performance Limits to Assess Data Quality.

Studies in health technology and informatics May 21, 2026
This study uses information theory to determine theoretical maximum classification performance on 13 healthcare datasets, differentiating between algorithmic limitations and inherent data constraints. Results reveal substantial variability in achieva... read more 

Multimodal Cardiovascular Disease Detection Using ECG Image and EHR.

Studies in health technology and informatics May 21, 2026
ECG is an important signal for cardiovascular disease prediction. Since the ECG signals are often stored as images in clinical practice, we transformed sequential ECG data into images and evaluated the performance of single-modal and multi-modal fusi... read more 

Automatic Placement Within a Hierarchical Clinical Decision Support Terminology.

Studies in health technology and informatics May 21, 2026
Hierarchical terminologies are often used to trigger clinical decision support within electronic health record software systems. This study utilized two algorithms to automate the process of placing clinical terms within a widely used hierarchical de... read more 

A Prediction Model for Cardiovascular Death in Individuals with Prediabetes.

Studies in health technology and informatics May 21, 2026
We developed a machine learning model to estimate the personalized risk of cardiovascular (CV) death within 5-years among obese/overweight people with prediabetes. The model has the potential to enhance early preventive CV strategies. read more 

Deep Learning-Based Prediction of Pathogenicity for ABL1 Protein Variants Using Sequence Representation.

Studies in health technology and informatics May 21, 2026
The ABL1 gene encodes a non-receptor tyrosine kinase implicated in leukemia and other genetic disorders. This study presents a deep learning-based approach for predicting the pathogenicity of ABL1 single amino acid variants (SAVs) using amino acid se... read more 

Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Studies in health technology and informatics May 21, 2026
Despite the advances in critical care and innovations of medical technology, earlier identification of children at high mortality risk remains challenging, particularly across heterogeneous pediatric intensive care unit (ICU) settings. In this study,... read more 

Generalization of ML Models Between ECG and VCG Representation.

Studies in health technology and informatics May 21, 2026
Integrating heterogeneous data sources is vital for developing and validating robust medical machine learning models. Although the 12-lead format is standard in clinical electrocardiography (ECG), many datasets include only single-lead or vectorcardi... read more 

Assessing AI-Based Decision Support in Early Sepsis and AKI Recognition.

Studies in health technology and informatics May 21, 2026
Sepsis and acute kidney injury (AKI) remain among the most critical conditions in acute care, associated with high morbidity and mortality. Early risk recognition is essential but often hampered by nonspecific symptoms. Recent studies have demonstrat... read more 
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