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Original Article
Objectives: The objective of the study was to use machine learning (ML) methodology to create prediction models for hypertension based on nationally representative health and demographic surveillance
HypertensionMachine LearningPredictive ModellingRisk FactorsAlgorithmsEpidemiology
Review Article
The global healthcare system is going through a big evolution in technological innovation. These evolvements include the integration of artificial intelligence (AI) into the pharmaceutical sector. The
PharmacyArtificial Intelligenceautomated dispensing systemsdispensingover-the-counter medications
Systematic Review
Background: Focal thyroid incidentalomas (FTIs) found on 18F-FDG PET/CT (Fluorine-18-Fluorodeoxyglucose Positoin Emission Tomography/Computed Tomography) examinations are becoming commonplace in routi
Focal thyroid incidentalomas18F-FDG PET/CTmalignancy risksystematic reviewmeta-analysisrisk stratification
Review Article
Artificial Intelligence (AI) is transforming healthcare, particularly in stroke diagnosis, management, and rehabilitation. Stroke, a leading cause of mortality and disability, requires rapid intervent
Artificial IntelligenceStrokeMachine LearningEarly DetectionMedical ImagingCT Scans
Systematic Review
Objective: To systematically evaluate the influence of organic cation transporter 1 genetic polymorphisms on therapeutic response to metformin and to assess their relevance for personalized management
Metforminmetformin resistanceOCT1personalized therapypharmacogenomicsSLC22A1 polymorphism