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Introduction Bloodstream Infection (BSI) refers to the presence of viable microorganisms such as bacteria, fungi, or parasites in the bloodstream, leading to systemic inflammation and potentially severe clinical outcomes like sepsis or septic shock. It is a critical medical condition that requires rapid identification and targeted antimicrobial therapy. BSIs may arise from localized infections (e.g., pneumonia, urinary tract infection, or surgical wounds) or from invasive medical devices such as intravenous catheters. Detection of BSI relies on...

Introduction Acinetobacter ursingii is a Gram-negative, non-fermentative, opportunistic bacterium belonging to the genus Acinetobacter. It is an uncommon species compared to Acinetobacter baumannii, but it has been increasingly recognized in healthcare-associated infections (HAIs). Reported cases include bacteremia, septicemia, pneumonia, urinary tract infections, and bloodstream infections, particularly in immunocompromised or hospitalized patients. Morphology Gram Stain: Gram-negative coccobacilli, often appearing as short rods. Growth on Media: Grows well on blood agar and MacConkey agar. Colonies: smooth, opaque, circular, and...

Introduction of Fungal Identification by Artificial Intelligence (AI) Fungal infections represent a growing concern in both immunocompromised and immunocompetent individuals. Conventional identification methods, including culture, microscopy, and biochemical testing, often require several days and may lack sensitivity or specificity for certain opportunistic fungi. Molecular techniques such as PCR and sequencing have improved accuracy but remain costly and time-consuming in routine practice. Recently, Artificial Intelligence (AI), encompassing machine learning (ML) and deep learning (DL) approaches, has emerged as a revolutionary tool to...