Artificial Intelligence Medical Compendium

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

Showing 1,991 to 2,000 of 213,633 articles

Role of Coordination Environment in Synergistic Catalysis: A Molecular Orbital Perspective on M1M2N6 Catalysts.

Journal of the American Chemical Society Jul 16, 2026
Visualizing the coordination environment-dependent synergistic mechanisms that govern the structural stability and adsorption behavior of dual-atom catalysts (DACs) is pivotal for precise catalyst design. However, insights into these mechanisms at th... read more 

Machine learning-driven integration of 24-hour ambulatory blood pressure and its variability.

PLOS digital health Jul 16, 2026
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out-of-office BP measurement to assess hypertension. Yet, the complexity of the obtained data, hinders their interpretation. Therefore, in this study, we... read more 

Machine learning prediction of physician-assigned treatment categories from pre-procedural electronic medical record data in cardiac patients: A multiclass classification study.

PLOS digital health Jul 16, 2026
Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burden worldwide. In patients with coronary artery disease (CAD), choosing among medical therapy, percutaneous coronary intervention (PCI), and coronary ar... read more 

Artificial intelligence-based chatbots to enhance medication adherence among patients with non-communicable chronic diseases: Systematic review and meta-analysis.

PLOS digital health Jul 16, 2026
Medication adherence remains a major public health challenge among patients with non-communicable diseases (NCDs) worldwide. Artificial intelligence (AI)-based chatbots may enhance adherence by automating reminders, education, and real-time support. ... read more 

Test-fairness deep learning with influence score.

PLOS digital health Jul 16, 2026
Performance disparities in AI systems can manifest across sensitive groups or across data sources, especially when training data are collected from specific populations. In this work, we propose a feature-selection-based method that improves test-fai... read more 

A novel deep-learning approach for robust identification of plant diseases.

PloS one Jul 16, 2026
Rising temperatures and changing weather conditions are accelerating the spread of plant diseases and increasing the threat to global food security. Reliable detection of leaf diseases is therefore essential to protect crop yields and ensure food qua... read more 

Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.

PloS one Jul 16, 2026
Owing to their remarkable proficiency in academic tasks, generative AI (GenAI) systems have been widely embraced in the education sector, stimulating debate among academics about their opportunities and challenges. However, extant studies tend to be ... read more 

Deep Learning Improves Sensitivity to Change in Sinus Computed Tomography: Evidence From Two Randomized Controlled Trials.

International forum of allergy & rhinology Jul 16, 2026
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Retraction: Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis.

PloS one Jul 16, 2026
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Prognostic Clinical Predictive Models for Dental Caries Using Artificial Intelligence: Methodological Considerations.

Caries research Jul 16, 2026
Artificial intelligence (AI) is currently used to develop clinical predictive models for dental caries. However, most prognostic models lack key methodological components. Few have been implemented in clinical practice, and even fewer have demonstrat... read more 
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