Clinical evaluation of the APAS® Independence: Automated imaging and interpretation of urine cultures using artificial intelligence with composite reference standard discrepant resolution-Reference-Cited by-同舟云学术

Clinical evaluation of the APAS® Independence: Automated imaging and interpretation of urine cultures using artificial intelligence with composite reference standard discrepant resolution

Published:2020-10 Issue: Volume:177 Page:106047
ISSN:0167-7012
Container-title:Journal of Microbiological Methods
language:en
Short-container-title:Journal of Microbiological Methods

Author:

Brenton Lisa,Waters Mary Jo,Stanford Tyman,Giglio Steven

Publisher

Elsevier BV

Subject

Microbiology (medical),Molecular Biology,Microbiology

Reference29 articles.

1. Analysis of Ordinal Categorical Data;Agresti,2010

2. Using a combination of reference tests to assess the accuracy of a new diagnostic test;Alonzo;Stat. Med.,1999

3. Using a combination of reference tests to assess the accuracy of a new diagnostic test;Alonzo;Stat. Med.,1999

4. Multicenter evaluation of the BioFire FilmArray gastrointestinal panel for etiologic diagnosis of infectious gastroenteritis;Buss;J. Clin. Microbiol.,2015

5. Fieller’s theorem, the likelihood and the delta method;Cox;Biometrics,1990

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and evaluation of an artificial intelligence for bacterial growth monitoring in clinical bacteriology;Journal of Clinical Microbiology;2024-05-08

2. Artificial intelligence in clinical microbiology;Artificial Intelligence in Clinical Practice;2024

3. Integrating Lean and Automation for Enhanced Serology Diagnosis Efficiency in Tertiary Healthcare Microbiology Laboratories;Applied Sciences;2023-12-27

4. Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician;Journal of Infection;2023-10

5. Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review;Artificial Intelligence in Medicine;2023-06