Conference Posters

Evaluation of an automated culture plate reading instrument for MRSA culture screening
Screening for MRSA colonisation is a routine task in the microbiology laboratory, with the standard method being culture on chromogenic media.
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Validation of APAS Independence (CCS) AI-Algorithms to detect MRSA in a routine setup
Culture-based MRSA screening is an important part of infection control in everyday clinical practice where fast and reliable results are essential.
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Introduction and use of an AI imaging device (APAS® Independence) to autoverify Urine cultures – Presented by Dr Glen Hansen
Screening for MRSA colonisation is a routine task in the microbiology laboratory, with the standard method being culture on chromogenic media.
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Comparison of MRSA plate reading methods: APAS® Independence (Artificial Intelligence), plate-in-hand and Kiestra™ (digital reads)
Automated systems have emerged to facilitate the interpretation of bacteriology culture with and without artificial intelligence (AI).
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Evaluation of the use of artificial intelligence for the detection of VRE using two different agar types
This study was conducted to evaluate artificial intelligence (AI)-based VRE-detection algorithms in combination...
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Introducing artificial intelligence for early Vancomycin Resistant Enterococci culture reads with APAS®
In clinical diagnostic laboratories, the early detection of bacteria directly impacts early reporting of clinical results and thus patient care.
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Comparison of an Automated Plate Assessment System and Artificial Intelligence
An evaluation of the APAS Independence’s ability to accurately triage MRSA cultures compared to human interpretation.
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Evaluation of APAS® Independence for routine urine culture reading within a private clinical setting
As culture reading can be highly subjective and time-demanding the use of artificial intelligence such as the APAS®…
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Introduction of artificial intelligence for high throughput culture-based MRSA screening
AI-based systems that aid in the plate-reading process may increase the overall sample throughout.
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