16 hasil untuk "Tai-Han Lin"
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Artikel Jurnal
Evaluation of Oropharyngeal Dysphagia in Older Patients for Risk Stratification of Pneumonia
ObjectiveNasogastric tube (NGT) and percutaneous endoscopic gastrostomy (PEG) are widely used techniques to feed older patients with oropharyngeal dysphagia. Aspiration pneumonia is the most common cause of death in these patients. This study aimed to evaluate the role of oropharyngeal dysphagia in…
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Artikel Jurnal
Pediatric Community-acquired Pneumonia with High Coinfection Burden: A Single-center Experience in Taiwan
Background: Community-acquired pneumonia (CAP) remains a leading cause of pediatric hospitalization worldwide. However, the role of viral–bacterial coinfections and the clinical utility of multiplex polymerase chain reaction (PCR) diagnostics in pediatric CAP remain insufficiently defined. Aim: The…
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Artikel Jurnal Teks lengkap
Analytical and Clinical Evaluation of a Fully Automated Direct-from-Whole-Blood Multiplex PCR Assay Using Large-Volume Reverse Elution for Rapid Bloodstream Infection Diagnosis
Background/Objectives: Prompt identification of bloodborne pathogens and their antimicrobial resistance is critical for effective sepsis management. Direct molecular testing of blood offers faster results than blood culture; however, its clinical utility has been limited by suboptimal sensitivity…
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Artikel Jurnal
Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study
BackgroundThe rising prevalence and swift spread of multidrug-resistant gram-negative bacteria (MDR-GNB), especially Klebsiella pneumoniae (KP), present a critical global health threat highlighted by the World Health Organization, with mortality rates soaring approximately 50% with inappropriate…
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Artikel Jurnal
Implementing an AI-enhanced clinical decision support system for Stenotrophomonas maltophilia: a survey-based randomized controlled trial of antibiotic precision and impact on survival
Abstract Background The World Health Organization has identified Stenotrophomonas maltophilia (SM) as a high-risk antibiotic-resistant pathogen. Notably, determining the effectiveness of current antibiotics against SM is challenging, leading to improper therapy and the spread of resistance. This…
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Artikel Jurnal Teks lengkap
Rapid Nanopore Sequencing of Positive Blood Cultures Using Automated Benzyl-Alcohol Extraction Improves Time-Critical Sepsis Management
Background/Objective: Timely identification of bloodstream pathogens is critical for sepsis management; however, PCR inhibitors such as sodium polyanetholesulfonate (SPS) in blood culture broth compromise nucleic acid recovery and long read sequencing. We assessed whether coupling a benzyl alcohol…
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Artikel Jurnal Teks lengkap
Analytical performance evaluation of a multiplex real-time RT-PCR kit for simultaneous detection of SARS-CoV-2, influenza A/B, and RSV
Differentiating between influenza, respiratory syncytial virus (RSV), and SARS-CoV-2 based on clinical symptoms alone can be challenging due to their overlap. This cross-sectional study, conducted from September to November 2023, evaluated the analytic performance of the LabTurbo multiplex…
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Artikel Jurnal Teks lengkap
Diagnostic Accuracy of the LabTurbo QuadAIO Common Flu Assay for Detecting Influenza A Virus, Influenza B Virus, RSV, and SARS-CoV-2
Background: The coronavirus disease 2019 (COVID-19) pandemic has highlighted the urgent need for rapid and accurate diagnostic tools for upper respiratory tract infections (URTIs). Nucleic acid amplification tests (NAATs) have transformed URTI diagnostics by enabling the rapid detection of multiple…
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Artikel Jurnal Teks lengkap
BioInnovate AI: A Machine Learning Platform for Rapid PCR Assay Design in Emerging Infectious Disease Diagnostics
Background/Objectives: Emerging infectious diseases pose significant global threats due to their rapid transmission, limited therapeutic options, and profound socioeconomic impact. Conventional diagnostic techniques that rely on sequencing and polymerase chain reactions (PCR) frequently lack the…
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Artikel Jurnal
Nationwide longitudinal evaluation of a machine learning approach for enhanced interpretation of Xpert MTB/RIF ultra rifampicin-resistance results in low bacterial load tuberculosis specimens
Background: The World Health Organization (WHO) has identified tuberculosis (TB) as the leading cause of death from a single infectious agent. False-positive rifampicin (RIF) resistance results from the Xpert MTB/RIF Ultra assay are common in TB patients with low bacterial loads, especially among…
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Artikel Jurnal
Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment
Objectives: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth, identification with matrix-assisted laser…
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Artikel Jurnal
An Advanced Machine Learning Model for a Web-Based Artificial Intelligence–Based Clinical Decision Support System Application: Model Development and Validation Study
BackgroundBreast cancer is a leading global health concern, necessitating advancements in recurrence prediction and management. The development of an artificial intelligence (AI)–based clinical decision support system (AI-CDSS) using ChatGPT addresses this need with the aim of enhancing both…
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Artikel Jurnal
Web-based explainable machine-learning tool for predicting five-year recurrence of colorectal cancer after curative resection: multicentre retrospective cohort study
Abstract Objective The World Health Organization identifies colorectal cancer as the third-most diagnosed malignancy and second leading cause of cancer-related mortality worldwide. Up to 30% of patients relapse within 5 years postoperatively; however, conventional staging methods cannot reliably…
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Artikel Jurnal
Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection in Klebsiella pneumoniae
Background: Effective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted laser desorption/ionization time-of-flight mass…
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Artikel Jurnal
Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study
Objectives Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health concern because of its genotypic diversity and association with severe infections, particularly those caused by strains carrying Panton–Valentine leukocidin (PVL). This study aimed to develop an artificial…
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Artikel Jurnal
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study
BackgroundSepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms…