Introduction of artificial intelligence for high throughput culture-based MRSA screening

In the laboratory, AI-based systems that aid in the plate-reading process may increase the overall sample throughput and can also improve the workflow and the overall quality by reducing subjectivity and increasing precision of reads. The APAS® Independence in combination with MRSA Analysis module was developed and evaluated using over 17,000 routine specimens over a 6-month period. MRSA screening was performed using chromID® MRSA (bioMerieux). Samples were processed using the AutoPlak® (Beckman Coulter), Previ Isola, and evaluated after 24 and 48 hours of incubation. Results of APAS® AI-based classification were compared to conventional plate reading by experienced medical technicians and microbiologists to determine sensitivity and specificity.

In a clinical setting, the APAS® Independence performed with a sensitivity of 100%, and a specificity of 98.1% showing extremely positive results. APAS Independence reliably screens for MRSA and would significantly reduce time to report enabling reprioritisation of technician/microbiologist time.

Poster Presentation: by Labor Dr Wisplinghoff

Conference: ECCMID 2019, Amsterdam

Date: April 2019

Authors: Aurbach U, Wirth S, Gigilo S, Pohl B, Wisplinghoff H

Citation: Aurbach U, Wirth S, Gigilo S, Pohl B, Wisplinghoff H., ECCMID 2019. Introduction of artificial intelligence for high throughput culture-based MRSA screening.