Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 209,601 articles

Machine Learning to Identify Bacteremia and Meningitis in Febrile Infants: A Systematic Review.

Pediatrics Jul 9, 2026
CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infections (IBIs), ie, bacteremia and meningitis, is essential to reduce morbidity and avoid unnecessary procedures. The role of machine learning (ML) in i... read more 

Personalized antiplatelet therapy: are we ready for a precision medicine approach.

Journal of basic and clinical physiology and pharmacology Jul 9, 2026
Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secondary prevention after acute coronary syndrome and percutaneous coronary intervention. However, substantial interindividual variability in antiplatelet... read more 

Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.

BMC medical education Jul 8, 2026
BACKGROUND: Artificial intelligence (AI) has emerged as one of the most rapidly evolving technologies in recent years and is increasingly being integrated into healthcare, education, and everyday life. Examining university students' attitudes toward ... read more 

Hybrid noise-resistant technique for malware classification.

Scientific reports Jul 9, 2026
Visualization-based malware detection has recently gained significant attention for binary and multiclass malware classification using machine learning and deep learning techniques. However, existing visualization-based frameworks still face several ... read more 

A transferable machine learning framework integrating multi-dimensional vegetation thresholds to predict green infrastructure cooling efficacy in arid urban areas.

Scientific reports Jul 8, 2026
Urban overheating, which affects more than two billion people, is a growing problem for cities in arid and semi-arid regions. The majority of current research relies on two-dimensional satellite indices like Normalized Difference Vegetation Index (ND... read more 

3Br-MGD: few-shot toxicity prediction with a three-branch deep encoder and meta-learning framework.

Scientific reports Jul 8, 2026
Predicting the toxicity of pharmaceutical compounds remains a major challenge in drug discovery. Early and accurate toxicity assessment is essential for eliminating harmful candidates before costly preclinical and clinical testing, thereby improving ... read more 

An Intelligent IoT-Compatible Arrhythmia Detection System Using a Hybrid Vision Transformer-LSTM Framework.

Cardiovascular engineering and technology Jul 8, 2026
BACKGROUND: In electrocardiogram (ECG) signal classification, advanced IoT-compatible systems and medical signal processing solutions have become feasible due to the rapid growth of the Internet of Things (IoT). However, it is challenging to detect a... read more 

An explainable AfroXLMR approach for multi-label emotion classification of Amharic social media text with dataset release.

Scientific reports Jul 8, 2026
Emotion detection from social media is crucial for understanding human emotions across languages. However, for low-resourced languages such as Amharic, the lack of annotated data makes this task challenging. Additionally, most current models use blac... read more 

A novel method of using neural networks to predict wine composition.

Scientific reports Jul 8, 2026
The present study proposes a method for diagnosing the main components of wine based on their infrared absorption spectra using machine learning techniques. The developed approach involves the application of Partial Least Squares regression, perceptr... read more 

A transferable machine learning framework integrating multi-dimensional vegetation thresholds to predict green infrastructure cooling efficacy in arid urban areas.

Scientific reports Jul 8, 2026
Urban overheating, which affects more than two billion people, is a growing problem for cities in arid and semi-arid regions. The majority of current research relies on two-dimensional satellite indices like Normalized Difference Vegetation Index (ND... read more 
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