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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
Original Article
Background: Xanthogranulomatous Cholecystitis (XGC) is a benign inflammatory condition whose features often closely mimic Gallbladder Carcinoma (GBC). In GBC-endemic regions like Eastern India, this d
Xanthogranulomatous cholecystitisxgallbladder neoplasmsdiagnostic errorsmorbiditycholecystectomy
Review Article
Background: Bioinformatics is a scientific sub-discipline that covers the area of biology at multi-disciplinary levels of microbiology, immunology, molecular biology, biochemistry, genetics, proteomic
Clinical MicrobiologyMicrobial InformaticsMicrobial EngineeringPathogenic DiseasesComputational Biology
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
Systematic Review
Background: The worldwide prevalence of obesity has reached an epidemic level and has presented a significant burden to public health infrastructure. There is a critical need for novel predictive inst
Artificial intelligenceMachine learningObesityPredictionSystematic reviewMeta-analysis
Review Article
Background: Artificial intelligence (AI) in surgery has evolved significantly improving surgeon’s cognitive capabilities. Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (
Artificial IntelligenceSurgeryMachine learningDeep learningNatural language processingComputer vision
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