THE LATEST TECHNOLOGY IN EARLY DETECTION AND HANDLING OF FUNGUS IN HOSPITALS: A LITERATURE REVIEW
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Abstract
Pathogenic fungi can cause serious infections in hospitals, especially in patients with weakened immune systems. Early detection and prompt management are crucial to reducing morbidity and mortality. The latest technology in fungal diagnosis and therapy holds great potential for improving clinical outcomes. This research is a literature review that examines various latest technologies used in the early detection and management of fungal infections in hospitals. Relevant articles from various medical and technology databases are selected and analysed to identify the latest trends in this field. The research findings indicate that various technologies, such as PCR-based detection, biosensor sensors, and advanced imaging technologies like MRI and CT scans, have demonstrated better capabilities in early fungal detection. Moreover, AI and machine learning-based approaches have shown great potential in optimising treatment and reducing diagnosis time. The latest technology in the detection and management of fungal infections in hospitals has shown significant progress. Further implementation of these technologies can accelerate diagnosis, improve treatment efficiency, and reduce the risk of complications. Further research is needed to evaluate the long-term effectiveness of this technology in clinical practice.
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